Tech Stack
Responsibilities
- Own the end-to-end AI-first data platform architecture, spanning streaming ingestion, lakehouse storage, feature generation, and data/insight serving layers.
- Architect real-time streaming systems using AWS Kinesis and Spark Structured Streaming to support low-latency AI, ML inference, and decisioning use cases.
- Design stream-to-lakehouse convergence patterns that unify real-time and historical data with strong correctness guarantees, enabling both analytics and ML workloads.
- Build and evolve data, metrics, and feature APIs that expose curated, AI-ready datasets for downstream applications, analytics, and machine learning models.
- Provide technical leadership and mentorship, shaping best practices for AI-ready data modeling, data quality, observability, and platform operability.
Benefits
- Health Insurance
Culture
Cross-Functional TeamsMentorship Program
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About Blink Health
Industry: healthtech
Size: small
Blink Health is a fast-growing healthcare technology company that creates products to make prescription medications accessible and affordable for everyone, improving health outcomes for patients. They are a collaborative team focused on innovation in the healthcare industry.
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