Data Engineering Manager | Client Services

This role requires a hybrid schedule and will be based in our Fort Mill, SC office (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1‑B, F‑1, OPT, STEM‑OPT, or TN visa, nor is it available to work corp‑to‑corp.

The Red Ventures Home Client Services group is looking for a talented Data Engineering Manager to join our team! As a Data Engineering Manager at Red Ventures, you will have the opportunity to build technology that drives real value for the users of our products all aimed at helping people choose best possible services/products for them. You will lead a team tasked with designing, developing, testing, and maintaining big data pipelines to create a foundation that powers our business analytics and machine learning efforts to drive our vision!

This role partners closely with external clients, and we are looking for someone who builds trust quickly, communicates with clarity at every level, and represents the team with confidence in high‑stakes conversations.

• Lead a team of 2–4 Data Engineers with varied experience levels to design and build data pipelines from various data sources to a target data warehouse using real‑time and batch data load strategies utilizing cutting‑edge cloud technologies.
• Serve as a people leader through servant leadership, supporting formal performance review cycles, and providing regular, actionable feedback to drive individual growth and team success.
• Establish and enforce standards for data governance, documentation, data quality, and pipeline observability, including logical and physical data models, metadata, ETL specifications, lineage, access control, and end‑to‑end integration workflows.
• Drive operational excellence for data platforms, including reliability, scalability, performance, cost optimization, and proactive monitoring and alerting practices.
• Build and maintain strong relationships across business, client, and technical stakeholders, translating project objectives and business strategies into executable technical plans while serving as a credible, trusted point of contact who knows when and how to push back.
• Lead and execute proof‑of‑conceptions where appropriate to assess, validate, and improve technical processes and approaches.

• 3+ years of experience managing a data engineering team, and at least 5 years of hands‑on data engineering experience before or alongside that management experience.
• 4+ years of hands‑on experience with Databricks and the ability to architect solutions within the platform, including Unity Catalog, Delta Lake, and workflow orchestration.
• 4+ years of experience working on cloud technologies; AWS preferred but welcome candidates with Azure or GCP experience.
• A technical leader who can guide and coach a team of data engineers, and who knows when to roll up their sleeves and contribute directly versus when to lead from behind.
• Strong hands‑on coding experience with Python; proficiency with PySpark in a distributed computing context.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non‑technical stakeholders, and a track record of communicating effectively up, down, and across the organization.
• Strong background in implementing code‑first data transformation workflows while championing scalable data modeling and data quality best practices.
• Expertise of data governance best practices, including data quality standards, lineage, access control, and documentation, and experience holding a team accountable to them.
• Experience with pipeline observability and data quality practices, including monitoring, alerting, and what it takes to run reliable data products in production.
• Experience with Git Hub and CI/CD processes.
• Strong analytical and interpersonal skills with the ability to work through ambiguity in a fast‑paced, dynamically changing business environment.
• Experience in a client‑facing or external partnership environment is a strong plus.

This range reflects total cash compensation, which may…