{"schemaVersion":"jobsearcher.job.v1","id":"f4e8fcd93e728320787b442e","url":"https://jobsearcher.com/jobs/f4e8fcd93e728320787b442e","canonicalUrl":"https://jobsearcher.com/jobs/f4e8fcd93e728320787b442e","title":"Databricks SME (Remote)","description":"Overview:\nGovCIO is hiring a Databricks SME to support the Department of Veterans Affairs (VA) Data Modernization initiative. In this role, the Databricks SME will guide data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions. This position focuses on workspace automation, onboarding support, data platform usability, infrastructure provisioning, and white‑glove customer success to ensure VA users can rapidly adopt and leverage modern data tools. This position is fully remote within the United States.\nResponsibilities:\nImplement and manage linked services, mount points, and catalog configuration within Databricks and VA’s VHA Data Lake.\nDevelop and optimize PySpark (Python/Scala) jobs, notebooks, and workflows in Databricks.\nBuild ETL/ELT pipelines using Azure Databricks Lakehouse features.\nDesign and implement Spark-based data processing for analytics workloads.\nOptimize Databricks Spark jobs for performance, cost, and scalability (partitioning, caching, tuning, etc.).\nCollaborate with data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions.\nExperience with Delta Lake and Synapse.\nEnsure data quality, governance, and security best practices.\nAct as subject matter experts to the workgroups from start to finish in their migration to the cloud\nHelp workgroups set up their resources and migrate their work loads\nSupport automated data warehouse access provisioning for eligible users, ensuring seamless integration with VA Cloud Data Warehouse (CDW) systems.\nProvide white‑glove customer success services, including onboarding sessions, office hours, rapid async support, and creation of reusable templates, guides, and best‑practice documentation.\nCollaborate with Customer Success, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment.\nDevelop migration guidance and self‑service resources to accelerate platform adoption and reduce user friction when transitioning from legacy data systems.\nTroubleshoot user issues related to data access, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams when needed.\nQualifications:\nRequired Skills and Experience:\nBachelor’s degree in Information Technology or a related field. (or commensurate experience)\n12+ years of experience in business analysis, project management, or a similar role.\nStrong experience with Databricks and Azure data services, including workspace administration, catalog creation, linked services, storage mounts, and access configuration.\nProficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling, and managing structured and unstructured datasets.\nAbility to automate provisioning workflows and infrastructure using scripting or infrastructure‑as‑code tools (Python, PowerShell, Bash, Terraform, ARM, or Bicep).\nStrong troubleshooting and problem‑solving abilities for diagnosing platform, data access, and pipeline issues and collaborating across teams for resolution.\nEffective communication skills with the ability to document technical processes, create reusable templates, and support users through onboarding, office hours, and white‑glove assistance.\n\nPreferred Skills and Experience:\nExperience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse/Azure Data Factory, Azure Data Lake Storage, SQL Server.\nCertifications: Azure Databricks and Spark for Data Engineers, PySpark and SQL, Microsoft Azure Cert, SQL, SQLlite, Python Pandas, Sybase/SAP PowerDesigner, Databricks DAB, Databricks Unity Catalog, and Databricks lakflow pipelines\nExposure to Starburst, PowerBI, SSRS, SSIS and Unity Catalog\nFamiliarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices.\nStrong understanding of Azure data services, including storage, compute, identity and access management, and DevOps workflows.\nExperience with workflow automation, CI/CD pipelines, or infrastructure‑as‑code (e.g., Terraform, ARM, Bicep).\nBackground in user‑facing or customer‑success‑adjacent work such as onboarding, training, communications, or technical support.\nAbility to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency.\nKnowledge of enterprise data systems common to healthcare or federal environments, especially data governance and data‑security considerations.\nExperience with tools such as Jira, ServiceNow, or SharePoint for intake, change management, and support processes.\n\nClearance Required\nAbility to obtain and maintain a suitability/Public Trust\n\nPosted Salary Range: USD $175,000.00 - USD $195,000.00 /Yr.","company":"GovCIO","rawCompany":"govcio","city":"Remote","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-08-04T22:08:12.133Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Databricks SME (Remote)","description":"Overview:\nGovCIO is hiring a Databricks SME to support the Department of Veterans Affairs (VA) Data Modernization initiative. In this role, the Databricks SME will guide data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions. This position focuses on workspace automation, onboarding support, data platform usability, infrastructure provisioning, and white‑glove customer success to ensure VA users can rapidly adopt and leverage modern data tools. This position is fully remote within the United States.\nResponsibilities:\nImplement and manage linked services, mount points, and catalog configuration within Databricks and VA’s VHA Data Lake.\nDevelop and optimize PySpark (Python/Scala) jobs, notebooks, and workflows in Databricks.\nBuild ETL/ELT pipelines using Azure Databricks Lakehouse features.\nDesign and implement Spark-based data processing for analytics workloads.\nOptimize Databricks Spark jobs for performance, cost, and scalability (partitioning, caching, tuning, etc.).\nCollaborate with data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions.\nExperience with Delta Lake and Synapse.\nEnsure data quality, governance, and security best practices.\nAct as subject matter experts to the workgroups from start to finish in their migration to the cloud\nHelp workgroups set up their resources and migrate their work loads\nSupport automated data warehouse access provisioning for eligible users, ensuring seamless integration with VA Cloud Data Warehouse (CDW) systems.\nProvide white‑glove customer success services, including onboarding sessions, office hours, rapid async support, and creation of reusable templates, guides, and best‑practice documentation.\nCollaborate with Customer Success, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment.\nDevelop migration guidance and self‑service resources to accelerate platform adoption and reduce user friction when transitioning from legacy data systems.\nTroubleshoot user issues related to data access, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams when needed.\nQualifications:\nRequired Skills and Experience:\nBachelor’s degree in Information Technology or a related field. (or commensurate experience)\n12+ years of experience in business analysis, project management, or a similar role.\nStrong experience with Databricks and Azure data services, including workspace administration, catalog creation, linked services, storage mounts, and access configuration.\nProficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling, and managing structured and unstructured datasets.\nAbility to automate provisioning workflows and infrastructure using scripting or infrastructure‑as‑code tools (Python, PowerShell, Bash, Terraform, ARM, or Bicep).\nStrong troubleshooting and problem‑solving abilities for diagnosing platform, data access, and pipeline issues and collaborating across teams for resolution.\nEffective communication skills with the ability to document technical processes, create reusable templates, and support users through onboarding, office hours, and white‑glove assistance.\n\nPreferred Skills and Experience:\nExperience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse/Azure Data Factory, Azure Data Lake Storage, SQL Server.\nCertifications: Azure Databricks and Spark for Data Engineers, PySpark and SQL, Microsoft Azure Cert, SQL, SQLlite, Python Pandas, Sybase/SAP PowerDesigner, Databricks DAB, Databricks Unity Catalog, and Databricks lakflow pipelines\nExposure to Starburst, PowerBI, SSRS, SSIS and Unity Catalog\nFamiliarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices.\nStrong understanding of Azure data services, including storage, compute, identity and access management, and DevOps workflows.\nExperience with workflow automation, CI/CD pipelines, or infrastructure‑as‑code (e.g., Terraform, ARM, Bicep).\nBackground in user‑facing or customer‑success‑adjacent work such as onboarding, training, communications, or technical support.\nAbility to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency.\nKnowledge of enterprise data systems common to healthcare or federal environments, especially data governance and data‑security considerations.\nExperience with tools such as Jira, ServiceNow, or SharePoint for intake, change management, and support processes.\n\nClearance Required\nAbility to obtain and maintain a suitability/Public Trust\n\nPosted Salary Range: USD $175,000.00 - USD $195,000.00 /Yr.","datePosted":"2026-08-04T22:08:12.133Z","dateModified":"2026-08-04T22:08:12.133Z","hiringOrganization":{"@type":"Organization","name":"GovCIO","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f4e8fcd93e728320787b442e"},"url":"https://jobsearcher.com/jobs/f4e8fcd93e728320787b442e"}}