Staff AI Data Transformation Architect
San Francisco · San Francisco, CA · USD 198,050-233,000 · 8+ years experience · Hybrid · Posted Oct 5, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Hybrid
- Location
- San Francisco · San Francisco, CA
- Salary
- USD 198,050-233,000
About the role
- Oura is seeking a Staff AI Data Transformation Architect to lead as the senior-most individual contributor driving Data AI enablement across the Data team.
- This hybrid role combines the strategic work of building a company-wide AI roadmap and operating model with the hands-on administration of the operational backbone.
- The position operates out of the San Francisco office and reports to the VP of Data Engineering and Analytics.
Responsibilities
- Define and own the Data AI enablement roadmap across data, product, engineering, science and business functions, prioritizing transformation opportunities.
- Build the operating model for repeatable adoption including playbooks, shared tooling, evaluation frameworks, and success metrics.
- Establish a shared language and evaluation framework that leaders use to assess AI opportunities consistently.
- Drive build-vs-buy decisions for AI tooling, influencing vendor strategy and technology investment at a company-wide level.
- Own the AI tool estate end-to-end, including integration of data and access models within the Databricks platform, multi-agent workflows, and token management.
- Hold the governance line by partnering with AI Governance, Security, Privacy, and Legal to define guardrails for responsible AI use in a health-sensitive environment.
- Keep AI spend efficient by owning observability, productivity best practices, reclamation cycles, and usage insights.
- Architect Oura's Data AI strategy leveraging Databricks and AWS to process terabyte-petabyte scale data with global consistency.
- Lead the design of machine-readable contracts, vector-based data architectures, and Retrieval Augmented Generation (RAG) patterns to enable LLM-powered reporting and Agentic AI.
- Partner with leadership to drive workflow redesign and change how functional teams operate.
Requirements
- 8+ years of experience scaling AI data solutions, products or technology adoption beyond pilots into sustained, organization-wide practice with measurable outcomes.
- A track record of building durable operating models, SOPs, and measurement systems that outlast any one project.
- History of influencing and aligning senior leadership on long-horizon technology investments.
- Deep technical fluency in LLMs and implementation patterns, with sound judgment for separating real value from hype.
- Direct, hands-on experience administering at least one enterprise AI productivity tool, including user/group management and configuration troubleshooting.
- Demonstrated AI fluency using LLM assistants and agents in daily work with sound judgment and verification.
- Clear point of view on when to build vs. buy, grounded in real experience.
- Experience in enterprise data platforms including lakehouse using AI/LLMs.
- Practical experience with role-based access models and permissions in multi-domain/region zones.
- Comfort partnering with Security, Privacy, and Legal to define and operationalize guardrails for responsible AI use in a regulated or health-sensitive environment.
Preferred qualifications
- Databricks Certified Administrator or Databricks Certified Data Engineer certification.
- Familiarity with data mesh principles and domain-oriented data ownership models.
- Experience supporting ML workflows such as MLflow, Feature Store, or Databricks Model Serving.
- Knowledge of dbt for data transformation and analytics engineering workflows.
- Cloud/AI token FinOps experience including cost allocation tagging, budget alerting, and multi-tier storage optimization.
- Exposure to Databricks Lakehouse Federation or cross-platform query federation patterns.
- Prior experience as an AI Champion or similar transformation role in another function or company.
- Familiarity with scripting or configuration automation to reduce manual admin work.
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 and 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
Workplace
- This is a hybrid role out of the San Francisco office.
Skills
- Databricks
- AWS
- LLMs
- RAG
- MLflow
- Feature Store
- Databricks Model Serving
- Dbt
- Python
- VertexAI
