Senior Manager Data Engineering

Raceland, LA, US • Posted 30+ days ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Roadmaps
  • Management
  • Oracle ERP
  • Proposal Writing
  • MES
  • Plant Lifecycle Management
  • Product Lifecycle Management
  • Lifecycle Management
  • Data Quality
  • Dashboard
  • Financial Forecast
  • Machine Learning (ML)
  • Data Warehouse
  • Cloud Computing
  • Enterprise Resource Planning
  • Leadership
  • Microsoft Azure
  • Analytics
  • Forecasting
  • Artificial Intelligence
  • Use Cases
  • Data Engineering

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80184442
  • Position Id: 9fcb7828a8ce2f2790e45266f4c70980
  • Posted 30+ days ago
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