Senior Data Architect

Ōura; San Francisco (CA); On-site; USD 172,550 - 203,000; Full time

Benefits offered by this job

Competitive salary and equity packages

Health, dental, and vision insurance

20 days of paid time off plus 13 paid holidays

Employee discounts

Job summary

A leading health technology company is seeking a Senior Data Architect in San Francisco, California. This role focuses on designing data architectures and managing data domains to enhance business operations and product insights. Candidates should have over 8 years of experience in cloud platforms and be proficient in Data Mesh governance. The position offers a competitive salary and extensive benefits including health insurance, paid time off, and employee discounts.

Qualifications

• 8+ years of experience in data architecture or modeling.
• Hands-on expertise in major cloud platforms.
• Familiarity with Data Mesh approach and governance.

Responsibilities

• Design and manage data domains to enable trustworthy data products.
• Build and optimize Data Lakehouse using cloud tools.
• Implement federated data governance within data mesh.

Skills

Cloud Platforms Expertise

Data Mesh Principles

Data Architecture

AI/ML Integration

Programming Skills

Education

Bachelor's or Master's in Engineering, Data Science, or Computer Science

Tools

Databricks

Snowflake

Google BigQuery

Kafka

Python

Job description

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).

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: 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, 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

• 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.

Region 1 $172,550 - $203,000

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.