Staff Enterprise Data Architect
Job Summary
The Staff Enterprise Data Architect at Oura is responsible for defining and implementing the enterprise architectural data vision, enhancing organizational agility and innovation across the Oura data domain landscape. This role serves as a primary advisor to enterprise architecture and executive leadership on technology strategy, data investments, and the evolution of our competitive position.
What You Will Do
Lead the definition and implementation of the enterprise architectural data vision, enhancing organizational agility and innovation across the Oura data domain landscape.
Design and enhance data mesh products.
Serve as a key advisor to enterprise architecture, executive leadership, and cross-functional partners (Data and Analytics, CI/CD, Engineering) to design a roadmap for a unified data platform supporting advanced analytics, reporting, and AI/ML use cases.
Cultivate and guide a community of senior domain and data architects, establishing the enterprise-level reference architectures, principles, and standards they use to execute our objectives.
Drive enterprise-wide transformation by establishing rigorous data modeling, lineage, and quality standards, embedding them into the fabric of Oura's development and operational lifecycles.
Facilitate strategic discussions with global stakeholders to ensure technology investments support overarching business goals, including data sovereignty and residency patterns across global jurisdictions.
Shape high-impact initiatives and RFPs as the primary architecture partner, ensuring every major technology decision aligns with Oura's strategic data vision and long-term operational efficiency.
Requirements
10+ years of experience acting at the Staff Enterprise level for a large organization.
10+ years leading data transformation designing and implementing large scale data transformations with an emphasis on AI coding and governance.
A leading Enterprise Data Architect designing data platforms, models, and integrations across multiple domains (e.g., IT, Finance, HR, Operations, Supply Chain, Corporate).
Recognized as an expert in modern data architectures (e.g., cloud data warehouses/lakes, event streaming, semantic layers, BI/analytics tooling) and how they support analytics, reporting, and AI.
Hands-on experience establishing and enforcing data modeling, governance, and quality standards (e.g., lineage, catalog, classifications, SLAs) across teams.
Demonstrated ability to work with senior stakeholders (e.g., Finance, Operations, HR, Engineering, IT, GRC) to translate business ideas and strategic direction into pragmatic, scalable data designs.
Understands business architecture and capability engineering and how it relates to expansive, global data estates.
Excellent communication skills, with a track record of producing clear diagrams, documentation, and decision materials that help non-technical leaders understand data trade-offs and options.
Demonstrated AI fluency at an expert IC level: regular use of LLM assistants and agents (e.g., Claude) in data-focused work (research, modeling, documentation, impact analysis).
Strategically aligns the uses of AI and agents to facilitate faster design and delivery. Human in the loop for verifying and refining AI output.
Hands-on experience using AI-assisted development and AI app-building tools to ship real artifacts such as data analysis helpers, documentation generators, or internal tools that improve data architecture workflows.
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.
Pay
Region 1: $198,500 – $233,000
Region 2: $180,200 – $212,000
Region 3: $169,150 – $199,000
Equal Opportunity Employer
We are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees.