Data Engineering Manager

STEM Search Group; Greenville, Spartanburg, Anderson (SC, SC, SC); On-site; USD 140,000 - 190,000; Full time

Job summary

STEM Search Group in Greenville, SC seeks an experienced data engineering leader to serve as a hands-on technical architect for the data platform. You will own architecture decisions in a team without a dedicated architect.

You will lead a small data engineering team, drive the migration to Snowflake, and modernize ELT workflows with dbt/Coalesce while guiding BI by Tableau and Sigma. Mentoring through 1:1s and pairing is expected, with strong stakeholder collaboration.

Qualifications

• Hands-on data engineering architecture experience.
• Experience with Snowflake or comparable cloud data warehouse.
• Experience with modern ELT tooling such as dbt and Coalesce.

Responsibilities

• Act as hands-on technical architect for the data platform, making architecture decisions since there is no separate architect role.
• Lead and coach a small data engineering team, remaining hands-on with pipeline design, code review, and day-to-day problem solving.
• Own the technical roadmap for migrating core data infrastructure to Snowflake, guiding schema design, performance, and scalability.
• Modernize ELT workflows using dbt, Coalesce, or similar, retiring legacy processes as the platform evolves.
• Guide reporting and BI strategy across Tableau and Sigma so dashboards and data models scale with the new environment.
• Coach and develop team members through regular 1:1s and pairing, stepping in to coach up where skill gaps exist.
• Partner with business stakeholders to translate reporting needs into scalable, well-architected data solutions.

Skills

Data architecture

Snowflake

ELT tooling

BI tooling

Player-coach leadership

Mentorship

Stakeholder collaboration

Tools

dbt

Coalesce

Tableau

Azure

Job description

• Act as the hands-on technical architect for the data platform, making real architecture and design decisions since there is no separate architect role on the team
• Lead and coach a small, close-knit data engineering team, staying hands-on with pipeline design, code review, and day-to-day problem solving
• Own the technical roadmap for migrating core data infrastructure to Snowflake, driving decisions on schema design, performance, and scalability
• Modernize ELT/transformation workflows using tools like dbt, Coalesce, or similar, retiring legacy processes as the platform evolves
• Guide reporting and BI strategy across tools such as Tableau and Sigma so dashboards and data models scale with the new environment
• Coach and develop team members through regular 1:1s and hands-on pairing, stepping in to "coach up" where skill gaps exist
• Partner directly with business stakeholders to translate reporting needs into scalable, well-architected data solutions

What we're looking for...

• Hands-on data engineering architecture experience: someone comfortable owning schema design, performance tuning, and platform tradeoffs without a dedicated architect to lean on
• Strong working knowledge of Snowflake, or a comparable cloud data warehouse with fast ability to ramp
• Experience with modern ELT/transformation tooling such as dbt, Coalesce, or similar platforms
• Experience with Tableau or a comparable BI tool
• A genuine "player-coach" leadership style: someone who leads by doing, not just delegating
• Strong interpersonal skills and a real investment in team culture, mentorship, and cross-functional relationships
• Nice to have: Azure experience, Sigma, Streamlit, or exposure to legacy Microsoft data stacks (SQL Server, SSIS) is a plus but not required