Lead Analyst Data Engineer

Boardwalk • Houston, TX

14h • Onsite

About The Position

Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com. We are currently looking for a Lead Analyst Data Engineer for our Houston, TX office. 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.

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.

Nice To Haves

• 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.

Responsibilities

• Architecting and delivering scalable, high-performance data pipelines and platforms across cloud environments.
• Leading the adoption of modern data architectures such as a Lakehouse and Databricks.
• Strengthening data integration and governance.
• Supporting analytics and AI/ML use cases.
• Mentoring data engineers and analysts to advance engineering standards and team capability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior