Senior Data Platform Leader: Azure & Enterprise Integration

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

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.