Senior Data Architect

🕒 April 7

🏢🏡 San Francisco – Hybrid

💵 $172.6k - $203k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of ŌURA

ŌURA

WebsiteLinkedIn

201 - 500 employees

🧘 Wellness

Wellness • Wearables • Health

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• 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

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