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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks SME (Remote) - **Company:** GovCIO - **Location:** Atlanta, GA, United States (Remote available) - **Salary:** $195,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Sql Data Warehouse, Data Analysis, JIRA, Microsoft Azure, Bash Shell, Cloud Database, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Data Visualization, Data Warehousing, DevOps, Distributed Data Store, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, PowerDesigner, Windows PowerShell, Power BI, Azure Data Lake, SAP (Applications), Microsoft SharePoint, SQLite, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Unstructured Data, Data Processing, Scripting, Azure Data Factory, Apache Spark, Sybase, Software Troubleshooting, Pandas, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Bicep, Terraform, Azure Synapse Analytics, Data Pipelines, Servicenow, Databricks - **Published:** July 9, 2026 - **Apply:** https://dejobs.org/x/x/91B065C49EF349588A54C6DA73ED6233/job/ ## About the Role * Bachelor's degree in Information Technology or a related field. (or commensurate experience) * 12+ years of experience in business analysis, project management, or a similar role. * Strong experience with Databricks and Azure data services, including workspace administration, catalog creation, linked services, storage mounts, and access configuration. * Proficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling, and managing structured and unstructured datasets. * Ability to automate provisioning workflows and infrastructure using scripting or infrastructure-as-code tools (Python, PowerShell, Bash, Terraform, ARM, or Bicep). * Strong troubleshooting and problem-solving abilities for diagnosing platform, data access, and pipeline issues and collaborating across teams for resolution. * Effective communication skills with the ability to document technical processes, create reusable templates, and support users through onboarding, office hours, and white-glove assistance. Preferred Skills and Experience: * Experience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse/Azure Data Factory, Azure Data Lake Storage, SQL Server. * Certifications: 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 * Exposure to Starburst, PowerBI, SSRS, SSIS and Unity Catalog * Familiarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices. * Strong understanding of Azure data services, including storage, compute, identity and access management, and DevOps workflows. * Experience with workflow automation, CI/CD pipelines, or infrastructure-as-code (e.g., Terraform, ARM, Bicep). * Background in user-facing or customer-success-adjacent work such as onboarding, training, communications, or technical support. * Ability to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency. * Knowledge of enterprise data systems common to healthcare or federal environments, especially data governance and data-security considerations. * Experience with tools such as Jira, ServiceNow, or SharePoint for intake, change management, and support processes. Clearance Required * Ability to obtain and maintain a suitability/Public Trust, * A valid photo ID must be presented during each interview * During the Hiring Process * Enhanced Biometrics ID verification screening * Background check, to include: * Criminal history (past 7 years) * Verification of your highest level of education * Verification of your employment history (past 7 years), based on information provided in your application ## Description * Implement and manage linked services, mount points, and catalog configuration within Databricks and VA's VHA Data Lake. * Develop and optimize PySpark (Python/Scala) jobs, notebooks, and workflows in Databricks. * Build ETL/ELT pipelines using Azure Databricks Lakehouse features. * Design and implement Spark-based data processing for analytics workloads. * Optimize Databricks Spark jobs for performance, cost, and scalability (partitioning, caching, tuning, etc.). * Collaborate with data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions. * Experience with Delta Lake and Synapse. * Ensure data quality, governance, and security best practices. * Act as subject matter experts to the workgroups from start to finish in their migration to the cloud * Help workgroups set up their resources and migrate their work loads * Support automated data warehouse access provisioning for eligible users, ensuring seamless integration with VA Cloud Data Warehouse (CDW) systems. * Provide white-glove customer success services, including onboarding sessions, office hours, rapid async support, and creation of reusable templates, guides, and best-practice documentation. * Collaborate with Customer Success, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment. * Develop migration guidance and self-service resources to accelerate platform adoption and reduce user friction when transitioning from legacy data systems. * Troubleshoot user issues related to data access, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams when needed. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)