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Senior Manager Data Engineering

Bollinger Shipyards
  • Raceland, LA
  • Remote
  • Quick Apply
5 days ago

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 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 
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 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.


Location: Remote

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Numbers & Facts

LocationRaceland, LA (
Remote
)
IndustryMarine Mfg & Services
Company Size1,000 to 1,499 employees
Websitehttp://www.bollingershipyards.com/

Benefits

Flexible Spending Accounts, Life Insurance, 401K

About Company

The leading provider of quality maritime construction, boat repair and conversion products and services to both the U.S. Military and the commercial marine industry.

JOIN A WINNING TEAM

Bollinger Shipyards is one of the nation’s most respected employer providing services to a diversified customer base. Offering competitive wages, attractive benefits packages, skills training and the opportunity for advancement, Bollinger provides more than just a job, but an environment to start a long lasting rewarding career. Today, thousands of Bollinger professionals proudly strive to uphold the standards of excellence which have guided Bollinger for more than half a century.

We have brought national recognition to South Louisiana and honor to the Bollinger name. We are proud of our long established reputation of integrity as a leader in the shipbuilding industry, a reputation emanating from our success in creating a workforce dedicated to the principles of continuous improvement. Please click below to discover opportunities available in becoming a member of our Winning Team!

Skills

  • Artificial Intelligence (AI)unmatched
  • Cloud Computingunmatched
  • Cross-Functionalunmatched
  • Data Managementunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Data Warehousingunmatched
  • ERP (Enterprise Resource Planning)unmatched
  • Engineering Managementunmatched
  • Forecastingunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Manufacturing Execution Systems (MES)unmatched
  • Microsoft Windows Azureunmatched
  • Oracle ERPunmatched
  • Product Lifecycle Managementunmatched
  • Reconciliationunmatched
  • Reporting Dashboardsunmatched
  • System Integration (SI)unmatched
  • Time Managementunmatched
  • Use Casesunmatched

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