Sr. Staff Platform/Data Reliability Engineer, Databricks (R5537)

Job description

Job responsibilities

• Own operational excellence for the Databricks platform, including monitoring, alerting, observability, incident response support, and production runbook patterns for data jobs and platform services.
• Define and maintain CI/CD and promotion standards for Databricks assets, including workflows, jobs, notebooks, code packages, infrastructure configuration, and environment promotion from dev to prod.
• Design and maintain platform standards for job orchestration, cluster and compute policies, service principal usage, environment isolation, and production execution reliability.
• Establish reusable operational templates and enablement patterns for new domains onboarding to Databricks, including logging conventions, job tagging, metadata capture, and support handoff expectations.
• Partner with the Senior Data Engineer to ensure ingestion and medallion patterns are implemented in a way that is observable, recoverable, cost-aware, and secure in production.
• Work with the cloud/infrastructure team to align Databricks configuration and usage patterns with broader enterprise cloud standards, especially where commercial and future government-hosted environments are involved.
• Help enforce technical controls for data segregation, access boundaries, and operational compliance in a highly regulated environment.
• Track and improve platform health metrics such as job success rates, incident trends, data pipeline reliability, cost efficiency, and environment drift.

Job requirements

• 12+ years of relevant experience in data platform engineering, platform operations, site reliability engineering, or modern cloud data infrastructure.
• Hands-on experience with Databricks or a closely related cloud data platform in production environments.
• Experience designing or operating CI/CD, environment promotion, version control, and deployment automation for data platforms and pipelines.
• Strong understanding of platform operations concepts such as observability, monitoring, alerting, incident management, and reliability engineering.
• Experience with compute policy design, workload isolation, service principals, and secure production execution patterns on cloud data platforms.
• Ability to work effectively in a regulated or security-sensitive environment with strong expectations around access control, auditability, and operational discipline.
• Strong collaboration skills and comfort partnering with cloud/infrastructure, security, data engineering, and analytics stakeholders.
• Databricks certification and/or strong demonstrated expertise with Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles.