About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Data

The Role: Head of Data

As the leader, you’ll shape the way we approach data at Gemini by creating a strategic vision for how data can help drive our business growth. You will build and manage a high-performance machine learning, data engineering, platform, and analytics team and leverage your experience and communication skills to work across business teams to develop innovative data solutions.  You will inspire and mentor a strong data team through your passion for data and its ability to transform decision-making and generate solutions for this new, exciting asset class. Communicating your insights and driving new product development across the organization is paramount to success. You will also be looked upon to share Gemini’s data vision and products externally.

Responsibilities:

• Lead team responsible for scaling our data infrastructure and optimizing our warehouse’s performance
• Lead design, architecture and implementation of best-in-class Data Warehousing and reporting solutions
• Define and drive the vision for data management, analytics, and data culture
• Collaborate with executive leadership to integrate data initiatives into business strategies
• Oversee the design, development, and maintenance of the company’s data platform, ensuring scalability, reliability, and security
• Lead and participate in design discussions and meetings
• Oversee the end-to-end management of our data ecosystem, ensuring data integrity, and driving data-driven decision-making across the organization including our products
• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production
• Drive the development of advanced analytics, reporting solutions, and dashboards to provide actionable insights to stakeholders
• Oversee design, development,  and maintenance of ETL processes, data warehouses, and data lakes
• Research new tools and technologies to improve existing processes
• Implement best practices for data modeling, architecture, and integration across various data sources
• Develop new systems and tools to enable the teams to consume and understand data more intuitively
• Partner with engineers, project managers, and analysts to deliver insights to the business
• Own responsibilities around root cause analysis, production and data issues such as validation

Minimum Qualifications:

• 12-20+ years experience in data engineering with data warehouse technologies
• 5-7+ years experience bringing a data infrastructure to the next level including the overhaul of data, pipelines, architecture and modeling
• 10+ years experience in custom ETL design, implementation and maintenance
• 10+ years experience with schema design and dimensional data modeling
• Experience building real-time data solutions and processes
• Experience building and integrating web analytics solutions
• Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
• Strong knowledge of traditional and modern data tools and technologies, including SQL, Python, cloud platforms (AWS, Azure, GCP), and big data frameworks
• Experience with AI/ML tools and techniques, including experience deploying machine learning models in production
• Strong understanding of data governance, compliance, and security best practices
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools(Airflow, AWS Glue, Informatica, Pentaho, SSIS, Alooma, etc)
• Experienced building cross functional teams across different departments
• Exceptional leadership, communication, and stakeholder management skills

Preferred Qualifications:

• Experience in a fast-paced, high-growth environment, particularly in tech or a data-driven industry
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or similar

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $269,000 - $336,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-SM1

​​About the Role:

As the Lead Data Analyst of Product Analytics, you and your team will shape the customer experience through high-quality experimental design and hypothesis testing. You will work cross-functionally with product managers, growth leads, designers, and engineers in a fast-paced collaborative environment. Your knowledge of A/B testing and digital analytics combined with your background in experimental design will allow Hims and Hers to build best-in-class customer experiences. This position will report to the Senior Manager of Product Analytics.

You Will:

• Design experiments and provide actionable and scalable recommendations from the results
• Deliver in-depth analyses that are statistically sound and easily understood by non-technical audiences
• Work with your team to curate the experimentation roadmap for the product and growth teams
• Enable data self-service by designing templates that are easy to understand using relevant KPIs
• Collaborate across analytics, engineering, and growth teams to improve the customer experience
• Distill your knowledge of tests into playbooks that can be implemented and utilized to help us transform our digital experience
• Identify causal relationships in our data using advanced statistical modeling
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Align analytics initiatives with broad business objectives to build long-term value
• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product and growth team

You Have:

• 8+ years of analytics experience
• 5+ years of experience in A/B testing
• Experience working with subscription metrics
• A strong work ethic and the drive to learn more and understand a problem in detail
• Strong organizational skills with an aptitude to manage long-term projects from end to end
• Expert SQL skills
• Extensive experience working with data engineering teams and production data pipelines
• Experience programming in Python, SAS, or R 
• Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference 
• Development and training of predictive models
• Advanced knowledge of data visualization and BI in Looker or Tableau
• Ability to explain technical analyses to non-technical audience

A Big Plus If You Have:

• Advanced degree in Statistics, Mathematics, or a related field
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience 
• DBT, airflow, and Databricks experience

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Senior Analytics Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Analytics Engineer at CLEAR, you will participate in the design, implementation of our MarTech products, leveraging your expertise to drive technical innovation and insure seamless integration of marketing technologies.

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / Airflow / Databricks / Spark / dbt

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data. Owning end to end data product from ingestion to visualization
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

 What you're great at:

• 6+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
  • Cloud services providers like AWS
  • Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
  • Big data tools like Spark, Kafka, Snowflake, Databricks, etc
  • Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
  • Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000 - $215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in San Francisco. They must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

We are seeking a highly skilled and experienced Manager for our Data Platform team to achieve our ambitious objectives. This role is crucial in managing and evolving our data infrastructure, engineering, and governance processes to support modern machine learning (ML) use cases, self-serve analytics, and data policy management across the organization. The ideal candidate will possess strong technical expertise, exceptional leadership abilities, and the capability to mentor and develop a high-performing team that operates across data infrastructure, engineering, and governance.

This person will be integral to the larger data organization, reporting directly to the Director of Data Platform. They will have the opportunity to influence decisions and the direction of our overall data platform, including data processing, infrastructure, data governance, and analytics engineering. Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.

As the Data Platform team manager, you will lead and mentor a team of data engineers, infrastructure engineers, and data governance specialists, fostering a collaborative and innovative environment focused on professional growth. You will oversee the design, implementation, and maintenance of secure, scalable, and optimized data platforms, ensuring high performance and reliability. Your role includes developing and executing strategic roadmaps aligned with business objectives and collaborating closely with cross-functional teams and the larger data organization to ensure seamless data integration, governance, and access. Additionally, you will provide technical leadership and play a pivotal role in resource management and recruiting efforts, driving the team’s success and aligning with the organization’s long-term data strategy.

In this role, you will:

• Build a highly specialized data platform team to support the growing needs and complexity of our product, business, and ML organizations.
• Oversee the design, implementation, and maintenance of a robust data infrastructure, ensuring high availability and reliability across ingestion, processing, and storage layers.
• Lead the development of frameworks and tooling that enable self-serve analytics, policy management, and seamless data governance across the organization.
• Ensure data is collected, transformed, and stored efficiently to support real-time, batch processing, and machine learning needs.
• Act as a liaison between the Data Platform team and the broader organization, ensuring seamless communication, collaboration, and alignment with global data strategies.
• Drive cross-functional meetings and initiatives to represent the Data Platform team’s interests and contribute to the organization’s overall data strategy, ensuring ML and analytics use cases are adequately supported.
• Drive the evaluation, selection, and implementation of new technologies and tools that enhance the team’s capabilities and improve the organization’s overall data infrastructure and governance processes.
• Implement and enforce data governance policies and practices to ensure data quality, privacy, security, and compliance with organizational standards.
• Collaborate with stakeholders to define and refine data governance policies that align with business objectives and facilitate discoverability and accessibility of high-quality data.
• Monitor and assess the data platform's performance to identify areas for optimization, cost management, and continuous improvement.
• Foster a collaborative and high-performance culture within the team, emphasizing ownership and innovation.
• Cultivate an ownership mindset and culture across product and platform teams by providing necessary metrics to drive informed decisions and continuous improvement.
• Set high performance and quality standards, coaching team members to meet them, and mentoring and growing junior and senior IC talent.

Qualifications:

• 7+ years of experience in data engineering, infrastructure & governance, with at least 2-3 years in a leadership or management role.
• Proven experience in building and managing large-scale data platforms, including data ingestion pipelines and infrastructure.
• Experience with cloud platforms and data ecosystems such as AWS, GCP, Azure, and Databricks.
• Familiarity with modern data engineering and orchestration tools and frameworks (e.g., Apache Kafka, Airflow, DBT, Spark).
• Strong understanding of data governance frameworks, policy management, and self-serve analytics platforms.
• Excellent leadership and people management skills, with a track record of mentoring and developing high-performing teams.
• Experience working with geographically distributed teams and aligning with global data and governance strategies.
• Strong problem-solving skills, with the ability to navigate and resolve complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across different locations and time zones.
• Proven ability to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy, but is also profoundly technical and can dive in to help when necessary.
• Embodies our EAGER values—ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Willingness to meet in person for scheduled team collaboration weeks and travel, if necessary, to the hub where the team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. 

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

Senior Data Analyst, Product Analytics

Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business. 

We are looking for a data scientist who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a data scientist you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights

You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms. 

What you’ll do

• Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).

• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.

• Work independently to find creative solutions to difficult problems.

• Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.

• Write and maintain technical documentation for the data models and analytics solutions.
   

What you'll bring

• Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• 5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) 

• Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.

• Experience developing and operating  within Snowflake

• Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact

• Preferred experience in dimensional modeling in dbt 

• Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.

• Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner

• Consistently navigates ambiguous technical and business requirements while making flexible technical decisions

• Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity

• Payments and/or Ecommerce experience preferred

Our Stack

Vertex ai, Google Colab, Looker, Dbt, Snowflake, Airflow, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx

Available Locations: Lisbon or Remote Portugal

About the team

You will be part of the Network Strategy team within Cloudflare’s Infrastructure Engineering department. The Network Strategy team focuses on building both external and internal relationships that allow for Cloudflare to scale and reach user populations around the world. Our group takes a long term and technical approach to forging mutually beneficial and sustainable relationships with all of our network partners. 

About the role

We are looking for an experienced Data and Analytics Engineer to join our team to scale our data insights initiatives. You will work with a wide array of data sources about network traffic, performance, and cost. You’ll be responsible for building data pipelines, doing ad-hoc analytics based on the data, and automating our analysis. Important projects include understanding the resource consumption and cost of Cloudflare’s broad product portfolio.

A candidate will be successful in this role if they’re flexible and able to match the right solution to the right problem. Flexibility is key. Cloudflare is a fast-paced environment and requirements change frequently.

What you'll do

• Design and implement data pipelines that take unprocessed data and make it usable for advanced analytics
• Work closely with other product and engineering teams to ensure our products and services collect the right data for our analytics
• Work closely with a cross functional team of data scientists and analysts and internal stakeholders on strategic initiatives 
• Build tooling, automation, and visualizations around our analytics for consumption by other Cloudflare teams

Examples of desirable skills, knowledge and experience

• Excellent Python and SQL (one of the interviews will be a code review)
• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields, or equivalent experience
• Minimum 3 years of industry experience in software engineering, data engineering, data science or related field with a track record of extracting, transforming and loading large datasets 
• Knowledge of data management fundamentals and data storage/computing principles
• Excellent communication & problem solving skills 
• Ability to collaborate with cross functional teams and work through ambiguous business requirements

Bonus Points

• Familiarity with Airflow 
• Familiarity with Google Cloud Platform or other analytics databases

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based inthe United Statesand, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform. Grammarly’s success depends on its ability to efficiently ingest over 60 billion daily events while using our systems to improve our product. This role is a unique opportunity to experience all aspects of building complex software systems: contributing to the strategy, defining the architecture, and building and shipping to production.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As a Senior DevOps Engineer on the Data Platform team, you will lead cloud infrastructure design, automation, and management, focusing on Databricks and AWS, ensuring the platform is scalable, secure, and cost-effective. You will be critical in optimizing data processing and machine learning workflows, guaranteeing high performance and uptime for critical systems. Your expertise in Databricks and AWS infrastructure and a focus on cost management will be vital to driving platform efficiency.

You will work closely with data engineers, ML teams, and infrastructure engineers to automate and optimize workflows, manage infrastructure, and ensure the platform supports real-time analytics and machine learning at scale.

• Design, implement, and manage scalable infrastructure focusing on Databricks, AWS, and Spark clusters to support data pipelines and lakes.
• Build and optimize CI/CD pipelines for deploying and managing Databricks clusters, data pipelines, and real-time data workflows.
• Use tools like Terraform, Kubernetes, and Ansible to orchestrate and automate infrastructure tasks, including provisioning, scaling, and monitoring.
• Implement and manage monitoring and logging systems to ensure data infrastructure's high availability, security, and performance, focusing on Databricks and AWS environments.
• Implement cloud security best practices, manage access control and encryption, and ensure the platform complies with data privacy regulations to ensure security and compliance.
• Collaborate with cross-functional teams to maintain cost management strategies, optimizing resource utilization across Databricks, AWS, and other data infrastructure components.

Qualifications

• Has 5+ years of experience in DevOps with expertise in managing AWS infrastructure and Databricks environments.
• Has strong experience with Spark clusters, data lakes, and managing large-scale data pipelines in a cloud environment.
• Is skilled in orchestration, monitoring, and logging, using tools like Terraform, Kubernetes, and Airflow for managing cloud resources and data workflows.
• Understands security and compliance best practices, ensuring data infrastructure is secure, compliant, and aligned with privacy regulations.
• Has experience with cost management and optimization of cloud resources, with a focus on AWS and Databricks.
• Is a problem solver who enjoys building scalable, automated solutions that improve platform reliability and efficiency.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: 

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching 
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).