Data Engineering Manager — Lead Modern Data Platform On-site

CPI Security; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Professional development support

On-site in Charlotte, NC

Job summary

CPI Security is seeking a Data Engineering Manager to lead a hands-on data engineering team in Charlotte, NC. You will mentor, guide, and coordinate data engineers while building modern data solutions across cloud platforms.

The role combines leadership with hands-on development, focusing on scalable pipelines, data models, and analytics-ready datasets using Snowflake, dbt, Python, SQL, and AWS. On-site collaboration and data platform modernization are key aspects.

Qualifications

• 6+ years of data engineering experience, including cloud data platforms.
• 4+ years of Snowflake experience.
• 4+ years of dbt experience (Cloud or Core).
• 4+ years of Python development experience.
• 4+ years of AWS experience.
• Experience building data warehouses, data marts, and production-grade data pipelines.
• Strong SQL and dimensional modeling experience.
• Experience with CI/CD, automated deployments, and data quality testing.
• Experience mentoring junior or mid-level data engineers.
• Ability to balance hands-on development with technical leadership.

Responsibilities

• Lead and mentor data engineers through code reviews, technical guidance, pair programming, and best-practice sharing.
• Build and maintain scalable data pipelines, data models, and analytics-ready datasets using Snowflake, dbt, Python, SQL, and AWS.
• Partner with business and technical stakeholders to understand data needs and deliver reliable, high-quality solutions.
• Support the modernization of CPI’s data platform, including migration from legacy on-premises SQL Server and SSIS environments to Snowflake.
• Design and build data marts using dimensional modeling to support reporting, BI, and analytics needs.
• Implement data quality checks, testing, monitoring, and deployment automation across the data pipeline lifecycle.
• Help define practical engineering standards for data modeling, development, documentation, security, and performance.
• Support DataOps practices including CI/CD, testing, monitoring, access controls, and secure data sharing.

Skills

Snowflake

dbt

Python

SQL

AWS

Data modeling

Data warehousing

Data pipelines

CI/CD

Mentoring

Leadership

Tools

Airflow

Prefect

SQL Server

SSIS

Job description

CPI Security is seeking a Data Engineering Manager to lead a hands-on data engineering team in Charlotte, NC. You will mentor, guide, and coordinate data engineers while building modern data solutions across cloud platforms.

The role combines leadership with hands-on development, focusing on scalable pipelines, data models, and analytics-ready datasets using Snowflake, dbt, Python, SQL, and AWS. On-site collaboration and data platform modernization are key aspects.