Staff Enterprise Data Architect

The Staff Enterprise Data Architect defines the overarching architectural vision and framework for Oura's enterprise data ecosystem, ensuring total alignment with long-term business strategy. 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. You will lead enterprise-wide transformations that scale our data platforms, models, and flows across all business domains while fostering a culture of operational excellence and compliance. By translating high-level business goals into coherent data strategies, you will ensure our data remains a scalable, well-governed asset for critical decision-making and innovation.

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 designing and enhancing 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
We would love to consider you for this role if you have:

• 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).
• Hands-on experience working with Databricks, Delta Lake, and global architectures, 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, and translating into LeanIX.
• 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

At Oura, we care about your well-being. Everyone at Oura has a ring of their own, and we're continually looking to improve employee health.

• 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

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1: $198,050 – $233,000 
• Region 2: $180,200 – $212,000 
• Region 3: $169,150 – $199,000

A recruiter can determine your zones/tiers based on your US location.