Senior Manager, Data Engineering

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy.  We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

You will own how data gets into our platform and how it gets served back out — ingestion, the lakehouse, and the query layer underneath everything analytics and product depend on. 

The problem is specific. Data arrives from CDC streams, transactional databases, event topics, partner APIs, and files, and today each source carries its own pipeline, its own failure modes, and its own on-call story. Your mandate is to collapse that into one ingestion framework and one open lakehouse — reliable enough to publish SLOs against, fast enough to serve interactive query, and cheap enough to defend line by line. 

This is a hands-on role. You will set technical direction, hire, and grow the team — and you will also be in design reviews, in code review, and in the pipeline when a stateful stream will not recover from its checkpoint. Expect roughly half your time in technical work. 

You own the full path: how data lands, the table format and its lifecycle, the transformation layer, the engines that serve it, and the SLOs on top of all of it. When a dataset is late or wrong, it is your team's phone that rings — and you are expected to have already built the thing that catches it first.