Lead Data Engineer with Databricks

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Job Summary

We are looking for a hands-on Lead Data Engineer with strong expertise in Databricks and proven experience in the retail domain. The ideal candidate should be a player-coach who can lead a team while actively contributing to design, development, and optimization of scalable data pipelines, along with strong communication skills to interact with stakeholders and business teams.

Key Responsibilities

• Design and build scalable data pipelines using PySpark and SQL on Databricks
• Work with large-scale retail data (transactions, customer, product, inventory)
• Implement data models using Lakehouse architecture
• Lead a team of engineers while remaining hands-on in coding.
• Collaborate with cross-functional teams and clearly communicate technical solutions to non-technical stakeholders
• Optimize performance of ETL/ELT pipelines
• Ensure data quality, governance, and best practices

Required Skills

• Strong hands-on experience with Databricks (must-have)
• Expertise in PySpark, Spark SQL
• Strong coding skills in Python and SQL
• Experience with Delta Lake / Lakehouse architecture
• Proven experience in building scalable data pipelines
• Excellent communication and stakeholder management skills
• Ability to translate business requirements into technical solutions

Location Requirement

• Candidates must be local to Dallas, TX or nearby. No relocation.