Senior Manager Data Engineering

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.