Design and evolve shared platform services (data ingestion, orchestration, transformation, metadata, and observability) that balance scale, cost, and operational simplicity.
Pragmatically make architecture decisions regarding tradeoffs between speed, reliability, and maintenance cost.

Core Infrastructure:

Implement and own platform features (e.g., transformation frameworks, feature stores, real-time ingestion pipelines, lineage and observability) that power analytics and ML.
Improve the developer experience for data producers and consumers—tooling, templates, docs, and CI/CD for data assets.

Data Quality & Observability:

Champion observability, governance, and data quality standards so every dataset is trustworthy and measurable.
Mentor platform and product engineers, evangelize best practices across teams, and partner with analytics, ML, and product to prioritize platform investments.

Thumbtack

Thumbtack helps millions of people confidently care for their homes with personalized guidance to AI tools and a best-in-class hiring experience. They are a growing community of 300,000 local service businesses.

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