[Hiring] Data Engineering Manager @MediaRadar

Role Description

We are looking for a high-impact Data Engineering Manager to take ownership of our data delivery lifecycle. In this role, you will be driving the end-to-end delivery of complex data projects, managing a distributed team of developers across North America and India.

While this is a leadership role, we value "curious leaders." You aren't afraid to roll up your sleeves and get hands-on with the data and systems to truly understand the "how" and "why" behind our pipelines. Your mission is to gain a deep technical and domain-level understanding of our entire ecosystem—from upstream ingestion to downstream client platforms—to ensure seamless, high-quality data delivery.

What You’ll Do (Responsibilities)

• End-to-End Delivery Management: Take full accountability for the project lifecycle, ensuring ETL solutions are delivered on time, within scope, and meet the high-quality standards required for our millions of daily data points.
• Team Leadership & Coordination: Manage and mentor a distributed team of developers, providing clear technical direction, resolving blockers, and conducting constructive code reviews.
• Deep System Integration: Proactively explore and master all systems upstream and downstream of your area. You will be expected to understand how our data interacts with client platforms to ensure smooth end-to-end integration.
• Operational Excellence: Lead the development of testing frameworks and QA plans to guarantee data integrity across our modern cloud stack (Azure, AWS, Databricks).
• Continuous Innovation: Constantly seek out better solutions and improved ways of working. Actively participate in Agile environments, optimizing sprint cycles and introducing best practices for CI/CD and system reliability.
• Domain Mastery: Rapidly learn the nuances of the Advertising and Market Research domain to better translate business needs into robust technical requirements.

Qualifications

• Experience: 8+ years in data engineering or ETL development, with at least 4-5 years in a lead or management capacity.
• Technical Foundation: Expert-level understanding of ETL technologies, ideally a deep understanding of SQL Server, Postgres, and the Databricks ecosystem (Delta Lake, Unity Catalog, Spark SQL) and Python/PySpark.
• Analytical Rigor: A strong background in SQL and RDBMS, with the ability to troubleshoot complex production issues and perform root-cause analysis.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Bonus Points (Nice to Haves)

• Domain Expertise: Previous experience in Advertising, Media, or Market Research.
• Infrastructure Knowledge: Familiarity with containerization (Docker, Kubernetes) and Azure DevOps pipelines.

Benefits

• Medical, Dental & Vision Insurance
• 401k with Company Match
• Flexible PTO
• Commuter Benefits
• Gym Discounts
• Summer Fridays