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

The role

This role makes Databricks a reliable, secure and scalable platform for enterprise use. The engineer owns operational excellence, CI/CD and promotion standards, compute policies and platform enablement for internal teams.

What you will do

• Own operational excellence for the Databricks platform, including monitoring, alerting, observability and incident response support
• Define and maintain CI/CD and promotion standards for Databricks assets from dev to prod
• Design and maintain standards for job orchestration, cluster and compute policies, service principals and environment isolation
• Create reusable operational templates for new domains onboarding to Databricks
• Partner with the Senior Data Engineer on observable, recoverable, cost-aware and secure ingestion and medallion patterns
• Align Databricks configuration with enterprise cloud standards, including commercial and government-hosted environments
• Help enforce technical controls for data segregation, access boundaries and compliance
• Track and improve platform health metrics such as job success rates, incident trends and cost efficiency
• Document platform standards and support models so the platform can scale
• Mentor internal engineers growing into platform responsibilities

Required qualifications

• 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
• Experience designing or operating CI/CD, environment promotion, version control and deployment automation for data platforms
• Strong understanding of observability, monitoring, alerting, incident management and reliability engineering
• Experience with compute policy design, workload isolation, service principals and secure production execution
• Ability to work in a regulated or security-sensitive environment with strong expectations around access control, auditability and operational discipline
• Strong collaboration skills with cloud/infrastructure, security, data engineering and analytics stakeholders

Nice to have

• Databricks certification and/or strong expertise with Delta Lake, Unity Catalog, Workflows and Databricks Asset Bundles
• Experience with infrastructure-as-code and platform automation in enterprise environments
• Experience supporting commercial and government or otherwise segregated environments with different compliance and access requirements
• Experience in defense, aerospace, federal or another regulated industry

Benefits

• Bonus
• Benefits
• Equity (full-time regular employees)
• Temporary benefits package, applicable after 60 days of employment (temporary employees)

Before you apply

• All offers are contingent on a cleared background and possible reference check
• Military fellows and part-time employees are not eligible for benefits

About the company

Shield AI is a venture-backed defense-tech company that protects service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.