Senior Manager Data Engineering

LED FastStart•Raceland, LA

About The Position

Leads the design, build, and operation of Bollinger’s enterprise data platform and data engineering function. This role ensures that data from ERP, engineering, and operational systems is integrated, reliable, and accessible to support analytics, forecasting, and AI initiatives across the enterprise.

Requirements

12–15+ years experience in data engineering or data platform roles
Proven experience building and scaling enterprise data platforms
Strong understanding of data pipelines, data warehousing, and cloud platforms (Azure preferred)
Experience integrating complex enterprise systems (ERP, operational, engineering systems)
Strong leadership and execution capabilities in cross-functional environments

Nice To Haves

Azure data platform is operational, scalable, and broadly adopted
Core enterprise systems are consistently integrated into a unified data environment
Data pipelines are reliable, maintainable, and aligned with enterprise standards
Analytics and forecasting are enabled by high-quality, timely data
AI use cases are supported without data bottlenecks or rework
Data engineering operates as a scalable, disciplined function across the enterprise

Responsibilities

Define and execute the roadmap for the Azure data platform (ADLS, Synapse) projects
Oversee integration of Oracle ERP, Finesse, historical proposal data, and MES/PLM systems into a unified data environment
Ensure consistent implementation of scalable data pipelines and medallion architecture (bronze → silver → gold)
Establish standards for data engineering, pipeline development, and data lifecycle management
Ensure data quality, reconciliation, and consistency across enterprise systems
Enable delivery of datasets supporting Executive Dashboard and Financial Forecasting
Support AI and machine learning initiatives through robust and scalable data infrastructure
Lead and scale the data engineering and platform teams, ensuring disciplined execution and delivery