Director, Data Platform & Engineering

Company Overview:

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

The Role

We are seeking a Director of Data Platform Engineering to lead the evolution of Blink’s real-time and batch data platform, built on AWS and Databricks. This role owns the strategy, execution, and people leadership for the data platform and engineering team, managing a team of Data Engineers and Data Platform Engineers.

As a Director, you will set the long-term vision and day-to-day management of the data platform and how data is ingested, processed, stored, and modeled, aligned with business objectives. This is a high visibility role deriving trusted metrics, reports and analytics that power decisioning systems, operational workflows and data products for internal and external stakeholders. You will balance hands-on technical judgment with organizational leadership—building high-performing teams, scaling platform capabilities, and ensuring the platform remains reliable, cost-effective, and aligned with business priorities.

This is a highly cross-functional role, partnering closely with Product, Engineering, Infrastructure Data, and Leadership to simplify our data ecosystem, retire legacy patterns, and establish scalable, lakehouse-first foundations for real-time analytics and decisioning.

We are open to hiring this position in:

New York (Preferred)

Pittsburgh

San Francisco

Seattle

What You Will Do

Platform Technical Leadership

Own the operations and administration of our end-to-end data platform including ingestion, storage, and data/insight serving layers

Own architecture and implementation of platform modernization including streaming systems, lakehouse design, and data-serving APIs, ensuring scalability, correctness, and operability

Unify real-time and historical data with strong data quality and correctness guarantees

Define and enforce standardized data contracts, event schemas to feed curated, trusted datasets for downstream applications, reporting and AI/ML, aligned with business needs.

Set standards for performance, cost efficiency, reliability, and observability across Spark, SQL, and streaming workloads

People Organizational Leadership

Lead, mentor, and grow teams of Data Engineers and Data Platform Engineers, including hiring, performance management, and career development

Build a strong engineering culture focused on ownership, technical excellence, and continuous improvement

Develop clear team charters, ownership boundaries, and operating models that scale with the business

Act as a coach and technical sounding board for senior and staff-level data and platform engineers, enabling high-impact decision-making

Partner with Data leadership to plan capacity, staffing, and roadmaps aligned to company priorities

Cross-Functional Partnership

Partner closely with leaders in Data, Product, Engineering, Operations, Finance, Network and Growth to align platform investments with business outcomes

Translate business needs into platform capabilities and sequencing, balancing short-term delivery with long-term platform health

Communicate platform strategy, tradeoffs, and progress clearly to executive and technical stakeholders

Serve as an escalation point for complex platform issues, driving resolution and long-term fixes

Technical Skills Experience

10+ years of experience building distributed data systems, with 3+ years of significant leadership experience owning scaled data platforms

Experience defining and operationalizing data contracts, event schema standards, enterprise data models, data quality and governance frameworks at scale

Deep expertise in real-time data systems, including AWS Kinesis and Spark Structured Streaming

Strong command of cloud based data platforms - preferably Databricks and Tableau environments on AWS (Delta Lake, clusters, jobs, performance tuning) and core AWS services (S3, IAM, networking)

Proven experience designing and operating data-serving architectures and APIs for analytics, metrics, and feature …