Data Engineering Manager

Job Title: Data Engineering Manager

Location: Multiple Location

Position Overview: The Data Engineering Manager leads the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.

The role partners closely with Enterprise Architecture, Analytics, Data Science, Infrastructure, and business stakeholders to integrate data from ERP, operational, engineering, and manufacturing systems into the enterprise Azure data platform.

Key Responsibilities:

Lead the development and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms

Establish and maintain scalable data engineering standards, frameworks, and development practices

Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)

Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes

Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture

Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets

Ensure data quality, lineage, observability, and reliability across enterprise data assets

Manage priorities, sprint planning, delivery timelines, and technical execution for the data engineering team

Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data

Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance

Mentor and develop technical talent while fostering strong engineering discipline and accountability

Qualifications:

Bachelors degree in Computer Science, Information Systems, Engineering, Data Management, or related field

812 years of experience in data engineering

Proven experience delivering enterprise-scale data pipelines

Strong SQL and data transformation expertise

Experience with cloud data platforms (Azure preferred)

Experience integrating ERP and operational systems

Skills and Abilities:

Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies

Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments

Familiarity with Power BI and downstream analytics enablement

Experience supporting AI/ML initiatives through engineered datasets and feature pipelines

Knowledge of data observability, master data management, and metadata management practices

Relevant cloud or data engineering certifications

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.

401k, Dental Insurance, Life Insurance, Medical Insurance, Vision