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# Senior Data Engineer- Azure/Databricks

- **Company:** The Technology
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Microsoft Azure, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Dataspaces, DevOps, Dimensional Modeling, Github, Apache Hive, JD Edwards EnterpriseOne, Python (Programming Language), Metadata, Microsoft SQL Server, Oracle (Applications), Role-Based Access Control, Power BI, Azure Machine Learning, Azure Data Lake, PL-SQL, SQL Databases, Data Streaming, Transact-SQL, Azure Service Bus, Enterprise Software Applications, Azure Data Factory, Software Troubleshooting, Git, Microsoft Fabric, Data Lakes, Pyspark, Apache Kafka, Video Streaming, Oracle Cloud Infrastructure, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5939076798

## About the Role

* 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.

## Description

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.