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

We are looking for a Data Engineer – Databricks Support/Admin to join our Data Engineering & Analytics team. In this role, your primary focus will be administering, stabilizing, and scaling our unified Databricks environment across all Oura business domains. While Databricks platform ownership is your core responsibility, we expect and actively support team members growing into adjacent data engineering areas — including pipeline development, data modeling, and cross-domain data mesh support — as the team and company scale.

This is a remote role supporting US East Coast hours, with occasional in-person gatherings.

- Own day-to-day administration, configuration, and health of Oura's global Databricks environment, serving stakeholders across IT, business, and data science domains.

- Manage workspace governance: access controls, cluster policies, cost monitoring, job scheduling, and security configurations.

- Support onboarding of new teams and use cases onto the Databricks platform as Oura unifies data across Finance, SDM, Commerce, Marketing, and other domains.

- Proactively identify and resolve performance bottlenecks, reliability issues, and cost inefficiencies.

- Maintain SLAs for platform availability and incident response across global time zones.

- Partner with IT and Data Architecture teams to align platform configurations with Databricks best practices and Oura's Data Mesh approach.

- Contribute to data pipeline development and Spark workload optimization.

- Support data engineers working across domain-specific initiatives (Finance, Membership, HW/SC, etc.).

- Assist with CI/CD tooling, infrastructure-as-code, and platform automation.

- 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.

- 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.