About this opportunity
Bollinger Shipyards lists this Senior Manager Data Engineering opportunity in raceland, Louisiana. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Title: Senior Manager Data Engineering
Location: Multiple Locations
Position Overview: 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.
Key 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 supportingExecutive DashboardandFinancial 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
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
Skills & Abilities
Azure data platform isoperational, scalable, and broadly adopted
Core enterprise systems areconsistently integrated into a unified data environment
Data pipelines arereliable, maintainable, and aligned with enterprise standards
Analytics and forecasting are enabled byhigh-quality, timely data
AI use cases are supported without data bottlenecks or rework
Data engineering operates as ascalable, disciplined function across the enterprise
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.
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Worksite address
raceland, LA, 70594, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.