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Senior Manager Data Engineering
Job in
Raceland, Lafourche Parish, Louisiana, 70594, USA
Listed on 2026-10-03
Listing for:
Bollinger Shipyards, Inc.
Full Time
position Listed on 2026-10-03
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
- 401k
- Dental Insurance
- Life Insurance
- Medical Insurance
- Vision
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 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
- 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
- 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
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.
Position Requirements
10+ Years
work experience
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