Senior Manager Data Engineering

Bollinger Shipyards, Inc.; Raceland (LA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

401k

Dental Insurance

Life Insurance

Medical Insurance

Vision

Job summary

Bollinger Shipyards, Inc. is seeking a Senior Manager Data Engineering to lead the design, build, and operation of the enterprise data platform.

You will ensure ERP, engineering, and operational data are integrated, reliable, and accessible to support analytics, forecasting, and AI initiatives. The role leads the Azure-based data environment (ADLS, Synapse) and will scale data pipelines, enforce data standards, and drive data quality across the organization.

Qualifications

• 12-15+ years of data engineering or data platform experience.
• Experience building and scaling enterprise data platforms.
• Strong understanding of data pipelines and data warehousing.
• Experience with Azure, ERP integrations, and MES/PLM systems.

Responsibilities

• Define and execute the roadmap for the Azure data platform (ADLS, Synapse).
• Oversee integration of ERP, engineering, and MES/PLM systems into a unified data environment.
• Ensure 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 datasets for Executive Dashboard and Financial Forecasting.
• Support AI and machine learning initiatives through robust data infrastructure.
• Lead and scale the data engineering and platform teams.

Skills

Azure data platform

Data pipelines

Data warehousing

Leadership

Job description

• 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

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 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.