Solutions Engineer
Posted 5 Aug 2026
Advertised as “Solutions Engineer - Microsoft Data”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
No salary listed for this role.
CertificationsDP-203, DP-600, PL-300, DP-300, AI-102, AZ-305
Why join CompuNet?
CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
As a Microsoft Data Engineer at CompuNet, you will design, build, optimize, and modernize enterprise data platforms using Microsoft Azure Data Services, Microsoft Fabric, Power BI, SQL Server, and related technologies.
Role Expectations
Technical Expertise: Serve as a subject matter expert in Microsoft Data and Analytics technologies including Microsoft Fabric, Azure Data Factory, Synapse, Databricks, SQL and Power BI.
Consulting & Engagement: Deliver customer-focused consulting engagements and guide data modernization initiatives.
Solution Architecture: Architect secure, scalable, governed data platforms.
Communication & Leadership: Partner with business and technical stakeholders.
Core Duties and Responsibilities
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Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.
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Build enterprise data warehouses, data lakes, and lakehouse solutions.
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Develop ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, Synapse Pipelines, and Databricks.
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Create scalable data models and analytics solutions.
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Implement governance, lineage, security, and compliance controls.
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Optimize performance, scalability, reliability, and cost.
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Support Power BI, analytics, and AI initiatives.
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Implement DevOps, Git, and CI/CD practices.
Key Expectations
Serve as a Microsoft Data subject matter expert, lead customer engagements, develop Statements of Work, and maintain relevant certifications.