We are looking for a Senior Data Engineer to join our Data & ML Platform team, responsible for development, maintenance and support for Oura’s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do: 

• Build, operate, and improve Oura’s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.
• Ensure that our data platform and processes meet privacy, compliance, and security requirements.
• Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
• Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.
• Write code, mostly in Python and SQL  with occasional additions Typescript, Java or some other language.

We would love to have you on our team if you have:

• 5+ years of experience developing and operating production systems.
• Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.
• Ability to design robust data models and pipelines, with attention to data accuracy and integrity.
• Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Demonstrated skills in writing well-structured, testable, and high-performance code.
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.
• You are self-motivated, proactive, and able to lead and manage your own work effectively.
• A pragmatic and goal oriented approach to development.

What Makes You Stand Out

• Real-life experience with Databricks.
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $159,000 - $187,000
• Region 3 $148,000 - $174,000

A recruiter can determine your zones/tiers based on your US location.

About the Role

We are seeking an experienced Senior Data Architect as part of our unified data mesh platform.  Reporting to the Sr. Director of Data Management, this role will be responsible for setting the data foundations and models for our Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

We are looking for a Data Architect/Modeler with deep expertise in modern cloud architectures and the Data Mesh approach. You will be responsible for designing the structural foundations of our data products, ensuring they are interoperable, scalable, and trustworthy. You will bridge the gap between complex business requirements and high-performance technical design, acting as the primary blueprint designer for our global data lifecycle.

What You Will Do

• Architect & Model: Design and manage data domains to enable the creation of interoperable, trustworthy data products.
• Cloud Infrastructure: Build and optimize Oura’s Data Lakehouse leveraging Databricks, Google Big Query, and Snowflake to process Terabyte-Petabyte scale data.
• Data Mesh Governance: Implement federated data governance within the data mesh to ensure processes meet privacy, compliance (HIPAA/PHI), and security requirements.
• Collaborate: Partner with Data Engineering, Data Science, and Business Domain owners to advocate for unified analytics and modeling best practices.
• AI Readiness: Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI.
• Standardization: Establish scalable data management frameworks and a governed data dictionary to enable organizational self-service.

What You Have

Experience: 8+ years of experience in data architecture or modeling, with a strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure).

Based on the provided job description and industry standards for modern data ecosystems, the following skillsets are required for a Data Architect focusing on Data Lakes, Enterprise Data Warehouses (EDW), and Advanced Analytics:

Cloud Platform & Infrastructure Mastery

• Multi-Cloud Expertise: Hands-on expertise in major cloud platforms including AWS (S3, Kinesis, Glue, Athena), GCP (BigQuery, VertexAI), or Azure.
• Modern Data Warehousing: Proficiency in designing and managing cloud-native warehouses like Snowflake or Google BigQuery.
• Lakehouse Architecture: Ability to build and operate a Unified Global Lakehouse that merges the flexibility of a data lake with the management of a warehouse.
• Containerization & Workflows: Experience with Docker, Pulumi and various workflow engines to manage complex data processing tasks.

Data Modeling & Strategy

• Data Mesh Principles: Familiarity with the Data Mesh approach, specifically managing federated data governance and decentralized data ownership.
• Lifecycle Management: Capability to lead the entire data lifecycle, from initial data definition to final delivery and consumption.
• Standardization: Expertise in Master Data Management (MDM) and Reference Data Management (RDM) to ensure consistency across the enterprise.
• Schema Design: Proficiency in using modern formats like Iceberg and transformation tools like dbt to maintain high-quality data structures including dbt Cloud on Databricks for SQL-based modeling (bronze/silver/gold)

Advanced Analytics & AI Readiness

• AI/ML Integration: Experience with production-quality AI/ML and predictive modeling, leveraging platforms like VertexAI and MLOps frameworks.
• LLM & NLP Design: Skill in designing architectures for Large Language Models (LLM) using Retrieval Augmented Generation (RAG) and vector-based data designs.
• Automated Insights: Ability to design systems for predictive analytics, anomaly detection, and automated reporting.
• Agentic AI: Familiarity with Agentic AI to deliver interactive, intelligent dashboards and self-serve capabilities.

Governance, Security & Compliance

• Data Residency: Knowledge of global data residency requirements and privacy standards.
• Regulatory Standards: Expertise in establishing HIPAA and PHI (Protected Health Information) standards within regulated environments.
• Quality Assurance: Championing best practices for data accuracy, reliability, and trustworthiness through rigorous validation and peer review.

Technical Foundations & Tools

• Programming & Processing: Broad knowledge of software fundamentals and stream processing using Kafka, Kinesis, Python, Spark and SQL.
• Integration/Integration: Expertise in integrating diverse data sources, including transactional, product, and compliance data into a centralized function using tools such as dbt, fivetran
• Orchestration: job and task automation and scheduler design using tools such as Airflow, Dagster, dbt, Databricks Lakeflow
• Observability: Design for high availability and performance bottlenecks including long running high cost tasks.
• Distributed processing: Spark (via Databricks) for large-scale ETL/ML. 

Nice to Have

• Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries.
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, finance, sales, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs with cost tiering
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

About the Role

The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are building a next-generation AI-powered personalization platform at the intersection of classical recommendation systems and modern AI. The retrieval and ranking engine draws on deep collaborative signals, graph-based user representations, and longitudinal health data. The serving layer increasingly runs through LLMs, which translates what the engine knows into language that is relevant, personalized, and safe. Getting that handoff right — ensuring the GenAI layer serves the model's intent rather than overriding it — is one of the defining technical challenges of this role.

As a Staff AI Scientist, you will set the technical direction for personalization at Oura. You will be hands-on in building, deploying, and iterating on production systems, and you will hold a high bar for the velocity at which the team moves from hypothesis to live experiment to learning. You will work across the full stack of the personalization system — from representation and retrieval through ranking, generation, and evaluation — and you will be the connective tissue between data science, engineering, product, and design. This is a high-visibility role for someone who thinks in systems, ships with urgency, and wants to build something that compounds in value over weeks and months.

This is a US Hybrid role based in San Francisco, CA. Candidates should be able to work onsite in our San Francisco office 2-3 days per week.

What You Will Do

• Define the personalization tech strategy: Set the research and modeling agenda for how Oura represents users, retrieves relevant content and interventions, and ranks and delivers them across surfaces. Identify where classical approaches (collaborative filtering, graph networks, similarity-based retrieval) are the right foundation and where newer methods add genuine value. Influence roadmap and technical direction across partner teams.
• Own user representation and retrieval: Build and maintain rich, longitudinal user state representations that span physiology, behavior, goals, preferences, and context. Design retrieval systems that operate over these representations to surface the right content, interventions, or guidance at the right moment.
• Architect a modern personalization serving interface: Define how personalization signals from the retrieval and ranking engine are passed to and preserved by the LLM serving layer. Develop grounding and constraints that prevent the serving layer from drifting away from what the ranking engine decided, ensuring GenAI serves as a personalization-aware delivery mechanism.
• Drive evaluation rigor: Design measurement frameworks that assess the full chain: retrieval quality, ranking calibration, and whether the GenAI serving layer preserved intent and personalization signal. But evaluation only matters if it moves fast enough to inform the next decision — you will build lightweight offline evals and shadow-mode testing infrastructure that let the team iterate quickly without waiting for long A/B cycles. Establish rubrics and tooling others can use and reuse.
• Apply causal reasoning to understand what works: Own the causal and counterfactual reasoning necessary to distinguish personalization effects from confounding. Design and analyze experiments that measure genuine impact on behavior and health, not just engagement.
• Mentor and raise the bar As a Staff scientist, you are expected to grow the people around you by providing technical mentorship to scientists and engineers — shaping team norms around experimentation and evaluation, and helping define what good looks like for personalization science at Oura.
• Collaborate and communicate across functions Partner with engineering, science, product, and design across the Health Intelligence team to shape how personalization integrates into the broader member experience. Communicate trade-offs, uncertainty, and modeling assumptions clearly to technical and non-technical stakeholders across the US and EU.

Requirements

We’d love to hear from you if you have:

• 8+ years of experience in applied machine learning or AI research, with a demonstrated expertise in recommendation systems, personalization, or retrieval. A graduate degree (MS or PhD) in a relevant quantitative field such as Computer Science, Statistics, or a related discipline is strongly preferred.
• Hands-on experience across retrieval, ranking, and recommendation system design (including collaborative filtering, embedding-based approaches, graph networks, or related methods), and a track record of shipping these into real production systems in a robust experimentation framework, not just offline analyses or research prototypes.
• Comfort working closely with server and app engineers on model serving, pipeline architecture, and deployment infrastructure — and an instinct for where to cut scope to ship faster without compromising the science.
• Practical experience integrating recommendation or retrieval signals with LLM-powered generation, including work on grounding, constrained decoding, prompt design, or evaluation frameworks that assess whether the generation layer preserved upstream intent.
• Demonstrated ability to design lightweight experiments and evaluations that generate signal quickly, such as shadow testing, staged rollouts, and proxy metrics that responsibly accelerate the learning loop without waiting on long A/B cycles.
• Experience framing personalization problems, modeling user trajectories, and working with stateful or sequential data.
• Solid exposure to causal methods (uplift modeling, treatment effect estimation, counterfactual evaluation) and experiment design, with the ability to interpret results with appropriate caution and communicate uncertainty clearly.
• Evidence of operating beyond individual contributions: influencing technical direction, mentoring others, shaping team practices, or leading cross-functional scientific initiatives.
• Strong ability to explain complex systems, trade-offs, and uncertainty to both technical and non-technical audiences, and to operate effectively in a fast-moving, ambiguous domain.
• Strong proficiency in Python, including data analysis and modeling, as well as experience with modern data tooling in collaboration with data and engineering partners.

Would be a benefit

These are strong signals of fit:

• Experience designing personalization specifically for consumer behavior change or health outcomes, where the goal is longitudinal impact rather than short-term engagement.
• Familiarity with health, wearables, or digital therapeutics domains, and genuine interest in how personalization compounds over a member's lifetime.
• Deep experience with AI / LLM-backed products and evaluation workflows, such as LLM-as-judge, rubric-based evaluation, safety/red-teaming, and offline vs. online assessment of model quality, latency, and cost.
• Comfort working outside “core” hours across time zones with distributed, cross-functional teams.

What we offer

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1: $233,000 - $267,000

A recruiter can determine your zones/tiers based on your U.S. location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura.

About the Role

We are seeking an experienced analytics platform leader as the Director for the Data Analytics team.  In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue.

You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth.

What You Will Do

• Vision & roadmap for analytics: Define and execute the analytics data lifecycle (business metrics, KPI frameworks, data products, governance) tied to company OKRs and growth objectives.
• Strategic problem framing: Translate ambiguous, cross‑functional business problems into clear analytical roadmaps and prioritised portfolios of work. 
• Executive communication & storytelling: Convert complex data into clear, actionable insights for senior stakeholders across Finance, Marketing, Sales, Product, Hardware/Supply Chain, Membership, Commercial, CX, Clinical, etc. 
• Collaboration: Independently collaborate with different stakeholders including Data Management, Data Engineering, Data Scientists, Research Operations, Testing, Software, Firmware, and Hardware to define and implement improvements and new functionality and support internal Data lakehouse consumers in their day-to-day work.
• Cross‑functional influence: Serve as a trusted advisor to business and technical leaders; drive alignment and adoption of analytics standards, metrics, and tools across domains.
• People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact.
• Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. 

• Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products.  Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection 
• Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements.
• Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally
• Translate complex data into clear, actionable insights for stakeholders at all levels. 
• Data Literacy:  Enable global KPI metrics dashboard with a governed data dictionary to enable self service
• Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data 

What You Have

• 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams.
• Proven ability to lead the data lifecycle from definition through delivery; Master & Reference Data Management (MDM/RDM) expertise.
• Hands‑on leadership of data mesh delivery, management, and governance.
• Track record building scalable governance frameworks that uphold data quality and integrity.
• Experience building a data‑driven culture and self‑service decision‑making; delivering measurable business outcomes and actionable insights; passion for data literacy.
• Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent.
• Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing.
• Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift.
• Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed.
• Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting
• Experience leading data mesh delivery, management and governance
• Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. 
• Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth 
• Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI.
• You are self-motivated, proactive, and able to lead and manage your own work effectively
• A pragmatic and goal oriented approach to development

Nice to Have

• Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries.
• Data and Platform Architecture, Agentic AI and ML Ops platform experience
• Security & compliance - determined to establish excellent HIPAA, PHI, GDPR,  Healthcare data governance, privacy, and compliance standards in regulated environments
• Familiarity and experience with the Data Mesh architecture
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure), data mesh (Databricks, BigQuery or Redshift), and modern architectures 
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, finance, sales, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs 
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $226,100 - $266,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)