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Databricks SME (Remote)

J VERS LLC

Remote • Today

Full-time

USD 175,000.00 - 195,000.00 per year

Job Details

Skills

Recruiting
Usability
Scala
Data Processing
Analytics
Scalability
Caching
Data Quality
Data Warehouse
Documentation
Collaboration
Migration
Information Technology
Business Analysis
Project Management
Extract
Transform
Load
ELT
Data Modeling
Management
Provisioning
Scripting
Windows PowerShell
Bash
Conflict Resolution
Problem Solving
Effective Communication
Data Analysis
Data Visualization
Data Lake
Microsoft SQL Server
Apache Spark
PySpark
SQL
Python
Pandas
Sybase
SAP
PowerDesigner
Databricks
Microsoft Power BI
Microsoft SSRS
Microsoft SSIS
Unity
Cloud Computing
Data Engineering
Microsoft Azure
Storage
Identity Management
DevOps
Workflow
Continuous Integration
Continuous Delivery
Terraform
ARM
Onboarding
Training
Technical Support
Health Care
Data Governance
Data Security
JIRA
ServiceNow
Microsoft SharePoint
Change Management
Security Clearance

Recruiting
Usability
Scala
Data Processing
Analytics
Scalability
Caching
Data Quality
Data Warehouse
Documentation
Collaboration
Migration
Information Technology
Business Analysis
Project Management
Extract
Transform
Load
ELT
Data Modeling
Management
Provisioning
Scripting
Windows PowerShell
Bash
Conflict Resolution
Problem Solving
Effective Communication
Data Analysis
Data Visualization
Data Lake
Microsoft SQL Server
Apache Spark
PySpark
SQL
Python
Pandas
Sybase
SAP
PowerDesigner
Databricks
Microsoft Power BI
Microsoft SSRS
Microsoft SSIS
Unity
Cloud Computing
Data Engineering
Microsoft Azure
Storage
Identity Management
DevOps
Workflow
Continuous Integration
Continuous Delivery
Terraform
ARM
Onboarding
Training
Technical Support
Health Care
Data Governance
Data Security
JIRA
ServiceNow
Microsoft SharePoint
Change Management
Security Clearance

Summary

Overview:
GovCIO 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.
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 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.

Qualifications:
Required Skills and Experience:

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

Posted Salary Range: USD $175,000.00 - USD $195,000.00 /Yr.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: jversfeed
Position Id: 5071534472399139793
Posted 2 hours ago

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Job Details

Skills

Recruiting
Usability
Scala
Data Processing
Analytics
Scalability
Caching
Data Quality
Data Warehouse
Documentation
Collaboration
Migration
Information Technology
Business Analysis
Project Management
Extract
Transform
Load
ELT
Data Modeling
Management
Provisioning
Scripting
Windows PowerShell
Bash
Conflict Resolution
Problem Solving
Effective Communication
Data Analysis
Data Visualization
Data Lake
Microsoft SQL Server
Apache Spark
PySpark
SQL
Python
Pandas
Sybase
SAP
PowerDesigner
Databricks
Microsoft Power BI
Microsoft SSRS
Microsoft SSIS
Unity
Cloud Computing
Data Engineering
Microsoft Azure
Storage
Identity Management
DevOps
Workflow
Continuous Integration
Continuous Delivery
Terraform
ARM
Onboarding
Training
Technical Support
Health Care
Data Governance
Data Security
JIRA
ServiceNow
Microsoft SharePoint
Change Management
Security Clearance

Recruiting
Usability
Scala
Data Processing
Analytics
Scalability
Caching
Data Quality
Data Warehouse
Documentation
Collaboration
Migration
Information Technology
Business Analysis
Project Management
Extract
Transform
Load
ELT
Data Modeling
Management
Provisioning
Scripting
Windows PowerShell
Bash
Conflict Resolution
Problem Solving
Effective Communication
Data Analysis
Data Visualization
Data Lake
Microsoft SQL Server
Apache Spark
PySpark
SQL
Python
Pandas
Sybase
SAP
PowerDesigner
Databricks
Microsoft Power BI
Microsoft SSRS
Microsoft SSIS
Unity
Cloud Computing
Data Engineering
Microsoft Azure
Storage
Identity Management
DevOps
Workflow
Continuous Integration
Continuous Delivery
Terraform
ARM
Onboarding
Training
Technical Support
Health Care
Data Governance
Data Security
JIRA
ServiceNow
Microsoft SharePoint
Change Management
Security Clearance

Summary

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.

Qualifications:
Required Skills and Experience:

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

Posted Salary Range: USD $175,000.00 - USD $195,000.00 /Yr.

Dice Id: jversfeed
Position Id: 5071534472399139793
Posted 2 hours ago

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

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