Oura

3 months ago

Senior Data Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 44 minutes agoStatus: Live

Job Summary

Senior Data Architect at an enterprise-scale data mesh platform, designing data foundations and models for interoperable data products. Lead cloud infrastructure for data lakehouse, leverage Databricks, Snowflake, and BigQuery, and implement federated data governance (HIPAA/PHI). Collaborate with Data Eng/Data Science teams, drive AI readiness with vector-based architectures and RAG patterns, and standardize data management and governance.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 BigQuery, and Snowflake to process Terabyte-Petabyte scale data.
•Data Mesh Governance: Implement federated data governance within the data mesh to ensure 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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityEmployee Discounts

Key Requirements

•8+ years of experience in data architecture or modeling
•strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure)
•experience with cloud-native data warehouses such as Snowflake or BigQuery
•familiarity with Data Mesh governance and federated data ownership
•experience with containerization and workflow tools (Docker, Pulumi) and data tooling (dbt, Fivetran)

Experience:8+ yearsHealthcareWearablesDigital healthSubscription servicesSaaS

Skills:CollaborationCommunicationProblem-solvingAnalytical thinkingStrategic thinking

Languages:English

Tech Stack:DatabricksGoogle BigQuerySnowflakeAWSS3KinesisGlueAthenaAzurePythonSQLSparkDBTDbt CloudDockerPulumiKubernetesKafkaVertexAIMLOps

Company Brief

Oura

Designs and sells the Oura Ring, a wearable device that tracks sleep, activity, and physiological signals to provide personalized health, recovery, and readiness insights via a companion app and analytics platform.

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Oulu, Finland

Founded: 2013

Website LinkedIn

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Oura

3 months ago

Senior Data Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 44 minutes agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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 BigQuery, and Snowflake to process Terabyte-Petabyte scale data.
•Data Mesh Governance: Implement federated data governance within the data mesh to ensure 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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityEmployee Discounts

Key Requirements

•8+ years of experience in data architecture or modeling
•strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure)
•experience with cloud-native data warehouses such as Snowflake or BigQuery
•familiarity with Data Mesh governance and federated data ownership
•experience with containerization and workflow tools (Docker, Pulumi) and data tooling (dbt, Fivetran)

Experience:8+ yearsHealthcareWearablesDigital healthSubscription servicesSaaS

Skills:CollaborationCommunicationProblem-solvingAnalytical thinkingStrategic thinking

Languages:English

Tech Stack:DatabricksGoogle BigQuerySnowflakeAWSS3KinesisGlueAthenaAzurePythonSQLSparkDBTDbt CloudDockerPulumiKubernetesKafkaVertexAIMLOps

Company Brief

Oura

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: Oulu, Finland

Founded: 2013

Website LinkedIn