Data Platform Engineer

Data volume is increasing faster than the current infrastructure was designed for. We need someone to build a platform that can grow with the product without becoming a constant maintenance burden.

• Design and operate data pipelines from AI prompt execution through to query-ready reporting tables.
• Own storage, schema design, and query optimization for high-volume, time-series AI output data.
• Build internal tooling that helps the research and product teams explore and validate data quality.
• Establish data observability practices so problems are caught before they reach the product.

• Strong experience designing data pipelines and schemas for analytical workloads.
• Comfort with time-series data, partitioning strategies, and query performance at volume.
• Experience building and operating pipelines that handle partial failures, late data, and schema evolution.
• A product mindset: you understand that bad data leads to bad product decisions.

• Building the data foundation for a product category that does not have an established playbook yet.
• Owning the full data platform, not just one pipeline.
• Working on infrastructure where quality directly determines whether the product can be trusted.

1. 01Map the current data flow end to end and identify the top three reliability or performance gaps.
2. 02Ship at least one pipeline improvement that reduces latency or error rate on a core data path.
3. 03Establish basic data observability so the team has visibility into pipeline health.