Senior Data Architect: Data Mesh & Lakehouse Lead

Oura

San Francisco (CA)

Hybrid

USD 172,550 - 203,000

Full time

14 days+
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Benefits offered by this job

Equity packages
Health insurance
Dental insurance
Vision insurance
Paid time off

Job summary

Oura is seeking a Senior Data Architect to shape our unified data mesh platform. You will design scalable data foundations for data products, enabling interoperable governance across global data lifecycles.

The role emphasizes cloud-native architectures and strategic collaboration with engineering, data science, and business teams. You will enable AI readiness with vector-based designs and RAG patterns, drive standardization through MDM/RDM, and lead lifecycle management from definition to

Qualifications

  • 8+ years of experience in data architecture or modeling.
  • Experience with cloud platforms: AWS, GCP, Azure, or Databricks.

Responsibilities

  • Architect and model data domains to enable interoperable data products.
  • Build and optimize Data Lakehouse using Databricks, BigQuery, and Snowflake.
  • Implement federated data governance within the data mesh to meet privacy, compliance, and security requirements.
  • Collaborate with Data Engineering, Data Science, and Business Domain owners to unify analytics.
  • Design vector-based data architectures and RAG patterns for LLM reporting and Agentic AI.
  • Establish scalable data management frameworks and a governed data dictionary.

Skills

Multi-Cloud Expertise
AWS
GCP
Snowflake
BigQuery
dbt Cloud
Databricks
Python
SQL

Education

Advanced degree in Engineering/DS/CS

Tools

Docker
Pulumi
Airflow
Dagster
Databricks Lakeflow

Job description

Oura is seeking a Senior Data Architect to shape our unified data mesh platform. You will design scalable data foundations for data products, enabling interoperable governance across global data lifecycles.

The role emphasizes cloud-native architectures and strategic collaboration with engineering, data science, and business teams. You will enable AI readiness with vector-based designs and RAG patterns, drive standardization through MDM/RDM, and lead lifecycle management from definition to

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