Azure DataBricks Engineer (Fulltime - Denver, CO)

Job Title - Azure DataBricks Engineer (OPT andalso Applicable)
Experience - 8+ years
Location - Denver, CO
Hire Type - Fulltime

Must Have Technical/Functional Skills

• Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks. 
• Implement batch data ingestion and transformations using PySpark and Spark SQL. 
• Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake. 
• Ensure data quality, reliability, lineage, and governance across the data platform. 
• Collaborate with security and platform teams to enforce data access controls and best practices. 
• Experience on CI/CD pipelines using Git for Databricks 

• Act as the onsite lead for Azure Databricks data engineering initiatives. 
• Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices. 
• Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components. 
• Ensure alignment between offshore execution and onsite architecture, security, and business requirements. 
• Proactively identify risks, gaps, and improvement opportunities across the data platform. 
• Prior experience working in a hybrid onsite–offshore delivery model 
• 6-10 years of hands-on experience in data engineering. 
• Strong, proven expertise in Azure Databricks and Delta Lake. 
• Advanced proficiency in SQL with a solid understanding of distributed data processing concepts. 
• Demonstrated experience leading, mentoring, or supervising data engineering teams. 
• Strong experience performing code reviews and solution design validations. 
• knowledge of data security, and access management (RBAC).
• Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory.