5+ years in data engineering, with real ownership of a platform rather than a single pipeline
Deep SQL and Python, plus hands-on experience with Spark and a lakehouse (Databricks strongly preferred: Delta Lake, Workflows, Unity Catalog)
You've used a CRM or ERP as a primary source system and know what it means to model messy operational data that people edit by hand
Comfortable with infrastructure as code and with software engineering practices for data (version control, CI, testing)
You talk to non-technical stakeholders easily and push back when a request should be solved differently
You work well in a Series B setting where priorities shift and nobody hands you a finished spec
You use AI coding tools as a natural part of your work and know where they help and where they don't
Streaming experience (Kafka, Kinesis or equivalent)
Machine learning and statistical analysis, especially applied to forecasting or pricing
Salesforce
Experience in commerce, marketplaces or supply chain, and an interest in catalog, pricing and fulfilment problems
A degree in Computer Science, Engineering or a related field

Senior Data Platform Engineer

Summary