Manager, Data Engineering

What You Will Do

Lead and mentor teams of data engineers, ETL developers, BI developers, and data architects.

Define and execute enterprise data warehouse and data engineering strategy.

Design and maintain enterprise data lakes, lakehouse architectures, and cloud analytics platforms.

Build scalable ETL/ELT pipelines supporting structured and unstructured data.

Lead migration initiatives from legacy platforms to modern cloud ecosystems.

Collaborate with business stakeholders across Finance, Operations, Supply Chain, and IT.

Ensure data quality, governance, security, and operational excellence.

Support enterprise BI, reporting, KPI dashboards, and AI/ML initiatives.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, related field or equivalent experience.
• 8+ years of experience in data warehousing, data engineering, or analytics environments.
• 3+ years of technical leadership or management experience.
• Strong expertise with SQL Server, Oracle, ETL development, and enterprise data modeling.
• Experience with Azure, AWS, or Google Cloud data platforms.
• Experience supporting ERP ecosystems such as Oracle EBS, SAP, Workday, or Dynamics.

Preferred Industry Experience

• Oil & Gas
• Manufacturing
• Energy
• Financial Services
• Healthcare
• Retail & Supply Chain

Soft Skills

• Strong leadership and mentoring capabilities.
• Excellent communication and stakeholder management.
• Strategic thinking with hands-on technical expertise.
• Ability to manage multiple priorities and complex enterprise initiatives.

Industry Expertise

• Enterprise ERP, Finance & Industry Expertise
• Strong functional understanding of Finance, Accounting, Procurement, and Supply Chain business processes.
• Experience supporting enterprise ERP ecosystems including Oracle EBS, SAP, Microsoft Dynamics, and Workday.
• Experience integrating ERP data into enterprise data warehouses and analytics platforms.
• Experience designing enterprise reporting and analytics solutions for operational and financial decision-making.
• Cross-functional expertise supporting Operations, Supply Chain, Finance, and Executive Leadership reporting initiatives.
• Hands-on experience with Microsoft Fabric architecture and implementation.
• Knowledge of Fabric Lakehouse, Warehouse, Data Factory, and Real-Time Analytics.
• Experience integrating Microsoft Fabric with Azure Data Lake, Power BI, and enterprise ERP systems.
• Understanding of OneLake architecture and enterprise data consolidation strategies.
• Experience implementing scalable analytics and self-service reporting solutions using Microsoft Fabric.
• Knowledge of Fabric data governance, security, and workspace administration.
• Experience supporting AI-enabled analytics and modern data platform initiatives within Microsoft Fabric ecosystem.

What We Offer

• Flexible Spending or Health Savings Accounts
• 401k match
• Paid Leave Plans
• Parental & Adoption Benefits
• Disability Coverage
• Employee Assistance Program
• Education Assistance
• Learning & Development Opportunities
• Flex-scheduling available for qualifying positions to achieve work-life integration
• Comprehensive medical, dental, vision, and life insurance