Remote Databricks SME - Data Platform & Cloud Migration

GovCIO

United States

On-site

USD 175,000 - 195,000

Full time

14 days+

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Job summary

GovCIO is seeking a Databricks Subject Matter Expert to guide data scientists, analysts, and tech teams in delivering production-ready data solutions for the VA Data Modernization initiative. This fully remote role focuses on workspace automation, onboarding, data platform usability, and secure cloud migration across the VA data landscape.

Responsibilities include building and optimizing PySpark workloads, ETL/ELT pipelines, Delta Lake and Synapse integration, and providing white-glove customer

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.
  • 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.

Responsibilities

  • 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 workloads.
  • 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.

Skills

Effective communication
Troubleshooting
Team collaboration

Education

Bachelor’s degree in Information Technology or related field

Tools

Databricks
Azure data services
Python
PowerShell
Bash
Terraform
ARM
Bicep

Job description

GovCIO is seeking a Databricks Subject Matter Expert to guide data scientists, analysts, and tech teams in delivering production-ready data solutions for the VA Data Modernization initiative. This fully remote role focuses on workspace automation, onboarding, data platform usability, and secure cloud migration across the VA data landscape.

Responsibilities include building and optimizing PySpark workloads, ETL/ELT pipelines, Delta Lake and Synapse integration, and providing white-glove customer

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