Data Engineering Manager

Confidential Jobs; Greensboro (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading data solutions provider in North Carolina is seeking a Data Engineering Manager to lead the development and optimization of their data environment. This role involves building scalable data solutions, ensuring data integrity across operational systems, and collaborating with business leaders. The ideal candidate has 7-12 years of experience in data engineering and strong SQL skills. The position offers an opportunity to work in a hands-on role while leading technical initiatives and providing strategic insights.

Qualifications

• 7–12 years of experience in data engineering, data architecture, or analytics.
• Experience building centralized data warehouse solutions.
• Strong SQL and data modeling expertise.
• Experience integrating ERP or operational systems into reporting platforms.

Responsibilities

• Design and maintain centralized data warehouse architecture.
• Build and optimize data ingestion pipelines.
• Integrate ERP and operational systems into reporting environments.
• Ensure data quality and governance across platforms.

Skills

Data engineering

Data architecture

SQL

Data modeling

Cloud platforms

BI tools

Team leadership

Tools

Azure

AWS

Snowflake

Job description

We are seeking a hands-on Data Engineering Manager to lead the continued development and optimization of our enterprise data environment. This role will focus on integrating data from multiple operational systems, improving reporting accuracy, and strengthening data governance across the organization.

The Data Engineering Manager will work closely with the VP of IT and business leaders to ensure data from ERP, sales, inventory, and labor systems is centralized, structured, and reliable. This is a working manager role ideal for someone who enjoys building scalable data solutions while remaining technically involved.

Key Responsibilities

• Design, enhance, and maintain centralized data warehouse architecture
• Build and optimize data ingestion pipelines and transformation processes
• Integrate ERP and operational systems into a unified reporting environment
• Develop and maintain dimensional models to support analytics and reporting
• Partner with operations and finance teams to standardize business reporting
• Ensure data quality, governance, and consistency across platforms
• Support BI tools and semantic layer development
• Identify performance bottlenecks and implement scalable improvements
• Contribute to cloud data initiatives and future analytics capabilities

Qualifications

• 7–12 years of experience in data engineering, data architecture, or analytics environments
• Experience building or maintaining centralized data warehouse solutions
• Strong SQL and data modeling expertise
• Experience integrating ERP or operational systems into reporting platforms
• Familiarity with BI tools and reporting frameworks
• Experience with cloud data platforms (Azure, AWS, Snowflake, etc.)
• Prior experience leading small teams (preferred but not required)
• Strong communication skills and collaborative mindset

Ideal Candidate

• Hands-on technical builder
• Comfortable in both engineering and business discussions
• Enjoys solving operational data challenges
• Team-oriented and proactive communicator