Data Engineering Manager | Home Client Services

Red Ventures is a global portfolio of high-growth companies, and they are seeking a Data Engineering Manager to join their Home Client Services group. In this role, you will lead a team responsible for designing and building data pipelines to support business analytics and machine learning efforts.

Responsibilities:

• 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-concepts where appropriate to assess, validate, and improve technical processes and approaches

Requirements:

• 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 GitHub 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