Staff Enterprise Data Architect

Oura Oura · Consumer · United States · Remote · IT

Staff Enterprise Data Architect responsible for defining the architectural vision and framework for Oura's enterprise data ecosystem, ensuring alignment with business strategy. This role advises on technology strategy, data investments, and evolving competitive position, leading transformations to scale data platforms, models, and flows across business domains. The architect will foster operational excellence and compliance, translating business goals into data strategies to ensure data is a scalable, well-governed asset for decision-making and innovation. Key responsibilities include leading the definition and implementation of the enterprise architectural data vision, designing data mesh products, advising on a unified data platform for AI/ML use cases, guiding architects, driving transformation through data modeling and quality standards, facilitating strategic discussions with global stakeholders on data sovereignty, and shaping initiatives as the architecture partner. Requires 10+ years of experience at Staff Enterprise level, leading data transformations with an emphasis on AI coding and governance, expertise in modern data architectures, and hands-on experience with data modeling, governance, and quality standards. Demonstrated ability to work with senior stakeholders and excellent communication skills are essential. AI fluency with regular use of LLM assistants and agents in data-focused work is also required.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Facilitate strategic discussions with global stakeholders to ensure technology investments support overarching business goals, including data sovereignty and residency patterns across global jurisdictions.

Skills

Required

  • 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
  • Designing data platforms, models, and integrations across multiple domains
  • Modern data architectures (e.g., cloud data warehouses/lakes, event streaming, semantic layers, BI/analytics tooling)
  • Establishing and enforcing data modeling, governance, and quality standards (e.g., lineage, catalog, classifications, SLAs) across teams
  • Work with senior stakeholders (e.g., Finance, Operations, HR, Engineering, IT, GRC) to translate business ideas and strategic direction into pragmatic, scalable data designs
  • Understand business architecture and capability engineering
  • Excellent communication skills, with a track record of producing clear diagrams, documentation, and decision materials
  • 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)

Nice to have

  • AI coding and governance

What the JD emphasized

  • AI coding and governance
  • AI fluency at an expert IC level: regular use of LLM assistants and agents (e.g., Claude) in data-focused work