Job Hybrid Onsite - Certified Azure DataOps Engineer is shared with you

[Sheldon Fernandez]

Mandatory Public sector experience and certifications. Copies of certifications will be needed to submit along with resume.

I’m working with the State of Vermont – Green Mountain Care Board (GMCB) on an opportunity and wanted to connect regarding a DataOps Engineer (Azure / Databricks / Data Governance) role.

Please review the details below and let me know if you’re interested. If so, share your resume, rate expectations, and availability.

Additional Details:

Client: State of Vermont – GMCB
Job Title: DataOps Engineer
Location: Montpelier, VT (Remote/Hybrid flexibility)
Submission Requirements: Resume, Certification Copy, 3 References

Work Model:

• Remote or Hybrid (based on location)
• Must align with state working hours (7:45 AM – 4:30 PM)

About the Role:

This role supports Vermont’s health data modernization initiative, focusing on building a scalable DataOps foundation across ingestion, data quality, governance, and analytics. You’ll work hands-on while also enabling internal teams to adopt modern data practices.

Scope of the Project:

The focus is on modernizing data pipelines, governance, and analytics capabilities, including ingestion into AWS data lake environments, improving data quality, and establishing operational DataOps practices.

Daily Duties / Responsibilities:

• Develop and operationalize DataOps workflows and practices
• Build and improve data ingestion pipelines and processing frameworks
• Implement data quality, anomaly detection, and monitoring (SPC/AI-based)
• Define and manage metadata, lineage, and governance standards
• Develop BI models and dashboards (Power BI)
• Support Agile workflows using Azure DevOps (Boards, Pipelines, Repos)
• Collaborate with teams to translate requirements into pipeline specifications
• Create SOPs, playbooks, and documentation for long-term sustainability
• Monitor performance metrics and maintain observability dashboards

Required Skills (Ranked):

• Strong experience in DataOps / Data Engineering / Data Science environments
• Experience with Azure DevOps and Databricks
• Experience building data pipelines and ingestion frameworks
• Strong knowledge of data quality, governance, and metadata management
• Experience with BI tools (Power BI)
• Experience working in cloud environments (AWS preferred for data lake)

Preferred Skills / Certifications:

• Azure Data Engineer Associate
• Power BI (PL-300)
• Databricks Data Engineer
• Azure AI Engineer
• DAMA CDMP / DCAM
• Agile / Scrum (CSM, SAFe, PSM)
• Lean Six Sigma / Change Management (Prosci)
• Security+ or similar (data governance/security focus)

Required Education:

• Bachelor’s degree or equivalent experience

Environment and Tools:

• Azure DevOps (Boards, Pipelines, Repos, Wikis)
• Azure Databricks
• AWS Data Lake (medallion architecture)
• Power BI, Power Automate
• SharePoint, Microsoft Teams

Additional Skills:

• Strong analytical and problem-solving ability
• Ability to work across technical and business teams
• Experience enabling teams and driving adoption of new processes
• Strong documentation and communication skills

This is not just a data engineer role you’re expected to build DataOps practices, improve governance, and enable teams, not just write pipelines. If someone lacks both technical depth and operational mindset, they’ll struggle.

Thanks,
Sheldon Fernandez
she...@elegantsolutions.us      
Elegant Enterprise-Wide Solutions, Inc
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