Sr Azure Data & Governance Engineer

Sr Azure Data & Governance Engineer Expert T e chnical Solutions is seeking a skilled Sr Azure Data & Governance Engineer for one of our premier , industry leading clients in Atlanta, GA 30328 . This person will drive the development of our cl ient ’ s modern enterprise data platform and lead our clie nt ’ s data governance initiatives. This role blends deep technical expertise in Azure-based data engineering with strategic leadership in data governance, quality, and stewardship. You’ll play a key role in our client ’ s digital transformation journey, enabling cloud technologies that unlock the full value of data assets. This is a 3 Month Contract to Permanent (Hybrid – 4 days onsite in Atlanta ) opportunity offer ing excellent pay , benefits, and growth potential. Primary Duties And Responsibilities • Design, develop, and deploy scalable data solutions using Microsoft Azure (Synapse, Databricks, Data Lake, ADF). • Build and maintain automated data ingestion, transformation, and validation pipelines. • Lead data governance strategy and execution, including data quality, lineage, cataloging, and stewardship. • Implement and manage data governance tools such as Microsoft Purview and Databricks Unity Catalog. • Maintain and expand the enterprise data catalog in collaboration with business stakeholders. • Oversee data quality initiatives including profiling, cleaning, and monitoring using PySpark, Pandas, and Databricks. • Support schema development for business tools such as Convergence. • Collaborate with cross-functional teams (architects, developers, analysts) to ensure data solutions meet business and technical requirements. • Lead dashboarding and analytics efforts to deliver actionable insights using Power BI and semantic modeling. • Optimize data integration processes for performance and cost efficiency. • Ensure compliance with internal data policies and external regulations. Require d Qualifications • Bachelor s degree in Computer Science, Information Technology, Data Engineering, or related field. • 6+ years of experience in data engineering, data governance, and analytics. • Strong experience with: Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Microsoft Purview, Unity Catalog, Azure Data Lake, ETL/ELT processes and pipeline orchestration, SQL, T-SQL, Python, PySpark • Deep understanding of data governance principles, data quality management, and metadata management. • Experience with data modeling (dimensional, star/snowflake schema) and data product development. • Familiarity with DevOps practices including CI/CD using Git. • Knowledge of MDM concepts and Power BI semantic modeling. • Experience working with various data formats (relational, JSON, Parquet, streaming). • Excellent problem-solving, analytical, and communication skills. • Proven ability to lead cross-functional initiatives and adapt to new technologies. Preferred Qualifications • M icrosoft Azure Data Engineer Associate Certificate • Certification on Data Science/ML. • Experience with Convergence, Oracle EBS, and manufacturing industry data. • Manufacturing industry experience.