Senior Enterprise Data Architect - Data Mesh & AI Strategy

Femtech Insider Ltd.; San Francisco (CA); On-site; USD 198,050 - 233,000; Full time

Benefits offered by this job

Competitive salary

Equity packages

Health/Dental/Vision

Mental health resources

Paid time off & holidays

Job summary

Oura is seeking a Staff Enterprise Data Architect to define and scale the enterprise data ecosystem. You will translate business goals into coherent data strategies, align with executive leadership, and guide data platforms, models, and flows across multiple domains.

You will lead senior domain and data architects, establish standards, and drive rigorous data modeling, lineage, and quality across development lifecycles.

Qualifications

• 10+ years of experience at the staff enterprise level in a large organization.
• Proven track record designing data platforms, models, and integrations across multiple domains.
• Expert in modern data architectures (cloud data warehouses/lakes, data mesh, semantic layers).
• Strong governance, lineage, catalog, SLAs, and data quality standards across teams.

Responsibilities

• Define and implement the enterprise data vision and architecture at scale.
• Advise executives and cross-functional partners to design a unified data platform roadmap.
• Lead a community of senior data architects to set reference architectures and standards.
• Drive data modeling, lineage, and quality programs across development lifecycles.
• Lead strategic discussions with global stakeholders on technology investments and data sovereignty.
• Shape high-impact initiatives and RFPs as the primary architecture partner.

Skills

Staff Enterprise experience

Data architecture leadership

AI/data governance fluency

Executive communication

Tools

Cloud data warehouses

Data mesh

BI/analytics tools

AI/ML tooling

Job description

Oura is seeking a Staff Enterprise Data Architect to define and scale the enterprise data ecosystem. You will translate business goals into coherent data strategies, align with executive leadership, and guide data platforms, models, and flows across multiple domains.

You will lead senior domain and data architects, establish standards, and drive rigorous data modeling, lineage, and quality across development lifecycles.