ŌURA

Senior Data Architect

ŌURA

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Salary

💰 $172,550 - $203,000 per year

Job Level

About the role

  • 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.

Requirements

  • 8+ years of experience in data architecture or modeling, with a strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure).
  • 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.
  • 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).
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata modelingcloud platformsdata warehousingLakehouse architecturedata governanceMaster Data ManagementReference Data Managementschema designdata lifecycle management
Soft Skills
collaborationadvocacystandardization