Microsoft Data Engineer (Azure, Power BI, Data Governance â Government Modernization)
Microsoft Data Engineer (Azure, Power BI, Data Governance â Government Modernization)
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1 Vacancy
Job Description
Job Title: Microsoft Data Engineer (Azure Power BI Data Governance Government Modernization)
Location: AtlantaGA (Hybrid)
We are currently seeking candidates who meet the following qualification
Key Responsibilities:
Design build and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
Implement medallion architecture (Bronze Silver Gold) to support data lifecycle and data quality.
Support the sunsetting of legacy SQL-based infrastructure and SSRS ensuring data continuity and stakeholder readiness.
Create and manage notebooks (e.g. Fabric Notebooks Databricks) for data transformation using Python SQL and Spark.
Build and deliver curated datasets and analytics models to support Power BI dashboards and reports.
Develop dimensional and real-time data models for analytics use cases.
Collaborate with data analysts stewards and business stakeholders to deliver fit-for-purpose data assets.
Apply data governance policies including row-level security data masking and classification in line with Microsoft Purview or Unity Catalog.
Ensure monitoring logging and CI/CD automation using Azure DevOps for data workflows.
Provide support during data migration and cutover events ensuring minimal disruption.
Technical Stack:
Microsoft Fabric
Azure Databricks
SQL Server / SQL Managed Instances
Power BI (including semantic models and datasets)
SSRS (for legacy support and decommissioning)
Qualifications:
Bachelors degree in Computer Science Information Systems or related field
5 years of experience in data engineering roles preferably in government or regulated environments
Proficiency in SQL Python Spark.
Hands-on experience with Microsoft Fabric (Dataflows Pipelines Notebooks OneLake)
Experience with Power BI data modeling and dashboard development
Familiarity with data governance tools (Microsoft Purview Unity Catalog)
Solid understanding of ETL/ELT pipelines data warehousing concepts and schema design
Strong communication and collaboration skills.
Preferred Qualifications:
Certifications such as Microsoft Certified: Fabric Analytics Engineer or Azure Data Engineer Associate
Knowledge of CI/CD automation with Azure DevOps
Familiarity with data security and compliance (e.g. FIPS 199 NIST)
Experience managing sunset and modernization of legacy reporting systems like SSRS
Soft Skills:
Strong analytical thinking and problem-solving abilities
Ability to collaborate across multidisciplinary teams
Comfort in fast-paced and evolving technology environments
If you meet these qualifications please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.
Employment Type
Full-time
