Data Engineering Manager
Thompson Street Capital Partners
Data Engineering Manager
MediaRadar equips marketing, sales and analytics leaders with the intelligence they need to stay ahead. Our platform delivers always-on, AI-enabled Creative, Competitive, Commercial and Market Intelligence—spanning ad strategy, media spend, creative assets and brand messaging across 30+ media channels and five million brands.
With deep insights into more than 35 million ad and campaign assets and $280 billion in media spend, MediaRadar provides a single, interoperable source of truth that plugs seamlessly into enterprise analytics and AI systems. The result: faster, cleaner and more actionable intelligence that drives competitive advantage
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.
What You'll Bring (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.
In addition to career progression, training and development, and an excellent work/life balance, future Radarians can expect a great benefits package that includes:
- Medical, Dental & Vision Insurance
- 401k with Company Match
- Flexible PTO
- Commuter Benefits
- Gym Discounts
- Summer Fridays
At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at View email address on click.appcast.io.
We're excited to meet people who share our values and want to build the future with us!
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