Sr Azure Data & Governance Engineer

Sr Azure Data & Governance Engineer - Expert Technical 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 client’s modern enterprise data platform and lead our client’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 offering excellent pay, benefits, and growth potential.

• 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.

• Bachelors 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, Py Spark
• 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 Dev Ops 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.

• Microsoft Azure Data Engineer Associate Certificate
• Certification on Data Science/ML.
• Experience with Convergence, Oracle EBS, and manufacturing industry data.
• Manufacturing industry experience.