Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
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