Hiring: Databricks SME (Remote) Company: GovCIO Location: United States Job Posted Time: 2026-09-12 07:39:27 Employment Type: Remote Target Skills & Keywords : Azure, Bash, CI/CD, Data Lake, Data Lakehouse, Data Warehouse, Databricks, Delta Lake, ELT, ETL, Infrastructure as Code, Jira, Linkerd, Pandas, PowerShell, PySpark, Python, SQL, SQL Server, SQLite, Scala, ServiceNow, Spark, Terraform About the job Experience: •Exposure to Starburst, PowerBI, SSRS, SSIS and Unity Catalog •Operational familiarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices. •In-depth knowledge of Azure data services, including storage, compute, identity and access management, and DevOps workflows. •Background in user‑facing or customer‑success‑adjacent work such as onboarding, training, communications, or technical support. •Demonstrated capacity to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency. Required Skills: •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.). •Partner cross-functionally with data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions. •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 Qualifications: •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. •Demonstrated capacity 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. •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 Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!