Data Engineer - Azure Databricks

Job Title: Data Engineer - Azure Databricks
Position Type: Full-Time
Location: Dallas, TX (Onsite)

WHY THIS ROLE MATTERS

• Transitioning from a legacy data warehouse environment to Azure Databricks and building a modern enterprise data platform. This is a high-impact role focused on designing scalable data pipelines, enabling advanced analytics, and modernizing enterprise reporting architecture.
• This opportunity sits at the center of a strategic cloud transformation initiative. The Data Engineer will help define and implement the Databricks-based architecture that supports reporting, analytics, and operational data workloads across the organization.
• Strong visibility. Strategic modernization initiative. Enterprise impact.

CORE RESPONSIBILITIES

• Partner with business stakeholders to gather requirements and design end-to-end data solutions
• Design, develop, and test data pipelines using Azure Databricks
• Build and optimize ETL processes
• Develop complex stored procedures and T-SQL queries
• Support production reporting and SSIS applications
• Optimize SQL performance and query tuning
• Collaborate with data engineering teams to promote best practices
• Stay current on Databricks and Azure cloud advancements

REQUIRED EXPERIENCE

• Bachelor's degree in Computer Science or related field.
• 8+ years of data engineering experience (SSIS / Azure Data Factory background acceptable)
• 3+ years of hands-on Azure Databricks experience
• Strong experience with:
• Delta Lake
• ADLS Gen2
• Medallion Architecture
• Unity Catalog
• Delta Live Tables
• Databricks Workflows
• Databricks SQL
• Strong T-SQL and performance tuning expertise
• 3+ years Azure Cloud experience (including Azure DevOps pipelines)
• Strong communication skills

PREFERRED EXPERIENCE

• Databricks Certification.
• Python
• Power BI
• Financial services / loan processing industry experience
• Azure Data Factory
• Agile methodology experience