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

Shield AI
United States
Workplace: RemoteFull timeUSD 180,000 - 270,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 12+ yearsSkills: ["Collaboration","Mentorship","Operational excellence","Observability mindset","Reliability engineering discipline"]

Own the operational reliability layer for Databricks so enterprise teams can run secure, scalable lakehouse workloads without fragility or rising costs. Drive monitoring, observability, incident support, runbooks, and CI/CD promotion standards for Databricks assets. Establish job orchestration and compute policy patterns, measurable platform health metrics, reusable onboarding templates, and secure controls for regulated environments. Mentor engineers transitioning into platform ownership.

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FursaFursa
Shield AI
Shield AI
3 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own the operational reliability layer for Databricks so enterprise teams can run secure, scalable lakehouse workloads without fragility or rising costs. Drive monitoring, observability, incident support, runbooks, and CI/CD promotion standards for Databricks assets. Establish job orchestration and compute policy patterns, measurable platform health metrics, reusable onboarding templates, and secure controls for regulated environments. Mentor engineers transitioning into platform ownership.
Location: United States
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own Databricks platform operational excellence, including monitoring, alerting, observability, incident response support, and production runbook patterns.
  • •Define and maintain CI/CD and environment promotion standards for Databricks assets, workflows, jobs, notebooks, code packages, and infrastructure configuration.
  • •Design and maintain platform standards for job orchestration, cluster/compute policies, service principal usage, environment isolation, and reliable production execution.
  • •Establish reusable operational templates and enablement patterns for onboarding new domains to Databricks, including logging conventions, job tagging, metadata capture, and handoff expectations.
  • •Track and improve platform health metrics (job success rates, incident trends, pipeline reliability, cost efficiency, and environment drift) and document standards and support models.

Pay and Benefits

Salary: USD 180,000 - 270,000 annually
Equity and Bonus:Equity

Key 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, including observability, monitoring, alerting, incident management, and reliability engineering.
  • •Ability to work effectively in regulated or security-sensitive environments with access control, auditability, and operational discipline.
Experience:12+ yearsData platform engineeringPlatform operationsSite reliability engineeringCloud data infrastructure
Skills:CollaborationMentorshipOperational excellenceObservability mindsetReliability engineering discipline
Certifications:Databricks certification
Tech Stack:DatabricksDelta LakeUnity CatalogWorkflowsDatabricks Asset BundlesCI/CDVersion controlInfrastructure-as-code

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn