Solutions Engineer Microsoft Data

Why join CompuNet

CompuNet values its people more than any other assetand 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

• Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.

• Build enterprise data warehouses data lakes andlakehousesolutions.

• Develop ETL/ELT pipelines using Azure Data Factory Fabric Data Factory Synapse Pipelines and Databricks.

• Create scalable data models and analytics solutions.

• Implement governance lineage security and compliance controls.

• Optimize performance scalability reliability and cost.

• Support Power BI analytics and AI initiatives.

• Implement DevOps Git and CI/CD practices.

Key Expectations

Serve as a Microsoft Data subject matter expert lead customerengagements develop Statements of Work and maintain relevant certifications.

Minimum Requirements

• 5 years designing enterprise data solutions.

• 3 years working with Azure Data Services.

• Expertise in Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure Databricks Azure SQL Database SQL Server and Power BI.

• Advanced SQL and data modeling experience.

• Experience with data warehouses data lakeslakehouses ETL/ELT governancePython Spark andDataOps.

• Experience implementing and optimizing a Medallion Architecture.

• Strong consulting and stakeholder management skills.

Preferred Requirements

• Bachelorsdegree in related field.

• Preferred Certifications: DP-203 DP-600 PL-300 DP-300 AI-102 AZ-305.

• Hands-on experience with Snowflake and Databricks at scale.

• Experience working with data architectures specifically for LLM use-cases.

Compensation and Benefits

We offer a full and comprehensive compensation package including:

• Medical dental vision Employee Assistance Program and Flexible Spending Accounts

• Life and AD&D insurance disability coverage critical illness and accident insurance

• Paid Time Off (PTO) and paid holidays

• Company-matching 401(k) and profit sharing

• Competitive salarywith eligibility for variable compensation such as commission bonuses and profit sharing included

Who we are

CompuNet Inc. is an engineering-led IT solution provider that offers consulting design and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing developing and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle from discovery and design through deployment training and handoff.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender national origin disability status protected veteran status or any other characteristic protected by law.