Senior Data Engineer- Azure/Databricks

This is a hands-on, delivery-focused role for a senior data engineer with strong experience in Databricks, Python, Azure data technologies, and enterprise data integration. The Senior Data Engineer will build and maintain scalable Lakehouse solutions, develop ELT/ETL pipelines, integrate data from multiple enterprise systems, and help ensure the performance, security, and reliability of the company’s data platform., * Build, implement, and maintain scalable cloud-based data solutions using Azure and Databricks.

• Develop and support Lakehouse and medallion architecture solutions.
• Design and maintain ELT/ETL workflows using Databricks, Azure Data Factory, Lakeflow, and Azure Data Lake Storage.
• Integrate data from enterprise applications and databases, including ERP systems, Oracle, SQL Server, and other business platforms.
• Develop solutions using Python, PySpark/Spark SQL, Delta Lake, and SQL.
• Configure and maintain Databricks Unity Catalog, including access policies, metadata, and lineage.
• Implement data security and access controls, including RBAC/ABAC and row- and column-level security.
• Monitor data pipelines, troubleshoot failures, resolve data-quality and performance issues, and support production environments.
• Participate in DevOps and CI/CD processes using Git, Azure DevOps and/or GitHub Actions.
• Develop and maintain technical documentation, including data flows, pipeline designs, runbooks, and configuration documentation.
• Collaborate with technical and business teams in an Agile environment.

• 5+ years of hands-on Databricks data engineering experience.
• Strong Python development skills.
• Strong experience with Databricks, including Delta Lake, PySpark/Spark SQL, notebooks, jobs, and cluster management.
• Hands-on experience with the Microsoft Azure data ecosystem, including Azure Data Lake Storage Gen2 and Azure Data Factory.
• Strong experience developing ETL/ELT pipelines and implementing Lakehouse/medallion architectures.
• Experience with dimensional modeling and incremental data loads.
• Strong database experience with Oracle and SQL Server, including PL/SQL and/or T-SQL.
• Experience integrating data from enterprise applications and multiple source systems.
• Hands-on experience implementing data security and access controls.
• Experience with Git and modern CI/CD/DevOps practices.
• Working knowledge of Power BI.
• Strong troubleshooting, documentation, and communication skills.

Preferred Experience

• Experience extracting and integrating data from JD Edwards (JDE).
• Experience with Databricks Unity Catalog and Lakeflow.
• FiveTran and/or dbt experience.
• Streaming technologies such as Event Hubs, Kafka, or Structured Streaming.
• Microsoft Fabric, Azure Synapse, Azure Functions, Azure Logic Apps, Azure ML, or Oracle Cloud.
• Machine learning and AI development or deployment experience.

The company offers a comprehensive benefits package that includes medical, dental and vision coverage, 401(k), pension, life insurance, paid time off, paid holidays, and wellness programs., National average IT Jobs average Texas average

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