{"schemaVersion":"jobsearcher.job.v1","id":"c1714b8a74a086a5f8d73bdb","url":"https://jobsearcher.com/jobs/c1714b8a74a086a5f8d73bdb","canonicalUrl":"https://jobsearcher.com/jobs/c1714b8a74a086a5f8d73bdb","title":"Senior Databricks Platform & Data Engineer","description":"A senior Databricks Platform Engineer who is also a strong, hands-on Databricks Data Engineer. The candidate must be able to design, configure, secure and govern enterprise Databricks environments while personally developing and optimizing production-grade batch and streaming data pipelines. This is not a purely advisory architect, platform administrator or governance-only resource.Databricks platform engineering requirements:Design and deploy enterprise-scale Databricks Lakehouse environmentsConfigure and administer Databricks workspaces, networking, security and private connectivityImplement Unity Catalog, RBAC, data lineage, auditability and multi-workspace governanceEstablish cluster policies, workload-management standards and platform guardrailsImplement CI/CD, Infrastructure as Code, DevOps automation and environment-promotion processesOptimize platform performance, scalability, reliability and costStrong AWS and Azure Databricks experience; GCP is preferred but not requiredHands-on data engineering requirements:Strong development experience using Python, PySpark and/or ScalaDesign, build and optimize production-grade batch and streaming pipelinesStrong Apache Spark development, troubleshooting and performance tuningDeep Delta Lake experience, including architecture, optimization and reliable data-processing patternsBuild scalable ingestion, transformation and orchestration frameworksDevelop reusable data products and domain-oriented pipelinesImplement data quality, validation, observability, monitoring and operational-support frameworksLead use-case delivery from requirements gathering and data modeling through development, testing and production deploymentTroubleshoot failed jobs, pipeline bottlenecks, data-quality issues and workload-performance problemsExperience supporting real-time analytics, reporting and machine-learning workloadsModern Databricks capabilities desired:Lakeflow/Declarative PipelinesAI/BI Dashboards and GenieModel Serving and ML deploymentSelf-service analytics and reusable ingestion frameworksClient-facing requirements:Lead architecture workshops, solution-design sessions and platform-strategy discussionsTranslate business requirements into technical architectures and delivery plansCommunicate effectively with data, architecture, security, risk, compliance and business stakeholdersLead technical teams and support client solutioning and proposal activities","company":"Bitcruit Solutions","rawCompany":"bitcruit solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-23T07:55:08.954Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Databricks Platform & Data Engineer","description":"A senior Databricks Platform Engineer who is also a strong, hands-on Databricks Data Engineer. The candidate must be able to design, configure, secure and govern enterprise Databricks environments while personally developing and optimizing production-grade batch and streaming data pipelines. 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