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!
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.
What You Will DoPlatform & 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
- 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
- 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
- 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 consumption
- Advanced understanding of Python and SQL, with the ability to guide high-performance pipeline and platform design
- Demonstrated success designing idempotent, replayable, observable data platforms with strong operational rigor
Experience leading platform modernization and reducing technical complexity at scale
Why Join Us:
It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population. At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year. Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.
We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
Blink Health New York, New York, USA Office
1407 Broadway, Suite 2100, , New York, NY, United States, 10018
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