Lead Analyst Data Engineer
About the role
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.
Responsibilities
- Architect and implement scalable, high-performance data pipelines and platforms across cloud environments using AWS services like Glue, Redshift, Athena, Lake Formation, SageMaker, Bedrock, Step Functions.
- Lead the adoption of modern data architectures such as a Lakehouse and Databricks.
- Support analytics and AI/ML use cases.
- Mentor data engineers and analysts to advance engineering standards and team capability.
Requirements
- 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.
Education
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- Masters Degree preferred.
Additional Information
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring. Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.