Sr. Data Engineer (Microsoft with Fabric)

Title: Sr. Data Engineer (Microsoft with Fabric

Location: Frisco or Atlanta or KS

Required Experience

• 4-7 yrs Developing cloud solutions using data services; hands-on with AWS Azure Microsoft Fabric or Google Cloud
• 4-7 yrs Hands-on development and migration of data to cloud platforms X
• 4-7 yrs SQL NoSQL and relational database design; experience with Oracle SQL Server Netezza
• 4-7 yrs Building complex data pipelines using Python SQL DAX Java Scala and/or Go
• 3-5 yrs Designing and building semantic models or data warehouses for enterprise-scale analytics
• 3-5 yrs Implementing data governance frameworks including data lineage cataloging and access control in a regulated environment
• 3-5 yrs SOX compliance activities: IT General Controls (ITGC) audit support segregation of duties and change management for data systems
• 2-4 yrs IT security best practices in large-scale environments: encryption tokenization secure API design least-privilege access and security architecture review
• 2-4 yrs Infrastructure and application design across OS environments (Unix Windows Linux) and RDBMS platforms
• 2-4 yrs High-level design architecture across security technologies networking web services and SOA in enterprise environments
• 2-4 yrs USGCI data handling NSA/CFIUS compliance or equivalent regulated government data programs
• Any Microsoft Fabric (Lakehouse Warehouse Dataflows DirectLake) Power BI and Microsoft Purview

Preferred Certifications & Additional Skills

Microsoft Certified:

• Azure Data Engineer Associate (DP-203) or equivalent cloud data certification.
• Experience designing Row-Level Security (RLS) and Object-Level Security (OLS) in Power BI or Analysis Services semantic models.
• Familiarity with data classification and tagging frameworks in regulated industries. Knowledge of CPNI (Customer Proprietary Network Information) handling requirements in addition to USGCI.
• Experience working directly with Internal Audit external auditors or compliance teams on data control documentation and evidence.