Senior Data Engineer, Data Platform Admin (us – East Coast)

Oura Oura · Consumer · United States · Remote · Data Engineering & Analytics

This role focuses on administering, stabilizing, and scaling a Databricks environment for a health-tech company. Responsibilities include day-to-day administration, workspace governance, onboarding new teams, performance optimization, and maintaining SLAs. There are also opportunities for growth in data pipeline development, data modeling, and supporting cross-domain initiatives.

What you'd actually do

  1. Own day-to-day administration, configuration, and health of Oura's global Databricks environment, serving stakeholders across IT, business, and data science domains.
  2. Manage workspace governance: access controls, cluster policies, cost monitoring, job scheduling, and security configurations.
  3. Support onboarding of new teams and use cases onto the Databricks platform as Oura unifies data across Finance, SDM, Commerce, Marketing, and other domains.
  4. Proactively identify and resolve performance bottlenecks, reliability issues, and cost inefficiencies.
  5. Maintain SLAs for platform availability and incident response across global time zones.

Skills

Required

  • 5+ years of experience in data engineering or platform/infrastructure engineering
  • Hands-on Databricks administration experience: workspace management, cluster configuration, access control (Unity Catalog preferred), and job orchestration
  • Strong understanding of Apache Spark and distributed compute fundamentals
  • Experience running production data systems on AWS (S3, Glue, Kinesis, IAM) or equivalent cloud platforms
  • Familiarity with workflow orchestration tools and CI/CD practices
  • Ability to support and communicate with non-technical stakeholders across multiple business domains
  • Self-motivated and comfortable operating with autonomy in a distributed team environment

Nice to have

  • Databricks Certified Administrator or equivalent certification
  • Experience with Unity Catalog and data governance at scale
  • Familiarity with Data Mesh principles and domain-oriented platform design
  • Experience in a high-growth, multi-stakeholder data environment

What the JD emphasized

  • Databricks administration experience
  • Unity Catalog
  • Data Mesh principles