We are currently looking for a Lead Analyst Data Engineer for our Houston, TX office.
POSITION DESCRIPTION:
The Lead Data Engineer is responsible for architecting and delivering scalable, high-performance data pipelines and platforms across cloud environments. This role leads the adoption of modern data architectures such as a Lakehouse and Databricks, strengthens data integration and governance, supports analytics and AI/ML use cases, and mentors data engineers and analysts to advance engineering standards and team capability.
REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE:
- 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.
- Excellent communication, collaboration, and leadership abilities.
PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE:
- AWS and Databricks certifications.
- 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.
REQUIRED EDUCATION:
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
PREFERRED EDUCATION:
