Tech Stack
Responsibilities
- Own the technical direction for Blink’s data engineering architecture, balancing immediate business needs with long-term scalability, reliability, maintainability, and AI readiness.
- Design, build, and evolve core data pipelines, models, and warehouses that support analytics, reporting, operational decision-making, and AI/ML use cases.
- Define and enforce standards for data modeling, data quality, observability, and performance across the data ecosystem, with an emphasis on producing trusted inputs for machine learning and AI.
- Lead the design and refactoring of large enterprise data warehouses and associated ETLs, simplifying architecture through automation, improved patterns, and AI-friendly data abstractions.
- Partner closely with analytics, product, and engineering teams to translate ambiguous business needs into scalable data solutions, including data products that enable AI-powered features.
Culture
Cross-Functional TeamsMission-DrivenWork-Life Balance
Requirements
Regions: Us
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About Blink Health
Industry: healthtech
Size: small
Blink Health is a healthcare technology company that builds products to make prescriptions accessible and affordable, with primary products BlinkRx and Quick Save removing traditional roadblocks in the prescription supply chain. They are a collaborative team focused on innovating within the healthcare industry.
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