Lead Data Engineer - Databricks

The Lead Data Engineer is responsible for defining, implementing, and overseeing enterprise-wide data architecture strategies that align with business objectives. This role requires deep expertise in cloud platforms (especially AWS), advanced data modeling, and the ability to lead modernization initiatives across the organization. Key Responsibilities

• Develop and execute long-term data architecture vision in alignment with business goals.
• Design and implement scalable data systems, including Data Lakes, Lakehouse, and Data Mesh architecture.
• Lead cloud migration strategies and data modernization projects.
• Collaborate with business and technology stakeholders to ensure architectural alignment.
• Architect and optimize batch and streaming data pipelines using appropriate tools such as AWS Glue.
• Implement data governance, metadata management, lineage tracking, and compliance frameworks.
• Integrate data platforms to support AI/ML workflows (SageMaker, Bedrock, Databricks).
• Provide technical leadership, mentorship, and oversight for data analysts and engineers.
• Conduct technical assessments and facilitate stakeholder workshops.
• Ensure best practices in version control, automation, and documentation., * This role may require occasional travel for stakeholder workshops or technical assessments.
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• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7 10 years of implementation experience in cloud data architecture, with at least 5 years in AWS environments.
• Proficiency in AWS services: Glue, Redshift, Athena, Lake Formation, SageMaker, Bedrock, Step Functions.
• Extensive experience working with Databricks.
• Working knowledge of the Alation data governance tool.
• Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL.
• Experience with databases: SQL Server, Oracle, PostgreSQL, Azure SQL, Teradata.
• Skilled in Power BI, Git, Visual Studio Code, SSMS.
• Knowledge of architectural patterns: Medallion architecture, data mesh, Lakehouse, SOA data layers.
• AWS and Databricks certifications are preferred.
• Excellent communication, collaboration, and leadership abilities.

Preferred Experience

• Leading cloud migration and data modernization initiatives.
• Designing and implementing scalable data architectures in AWS and Databricks.
• Managing data governance, security, and compliance in complex environments.
• Mentoring junior architects and engineers.
• Working with cross-functional teams to deliver business value through data.

• $160,200-195,800 per year