Director Data Platform Engineering

Blink Health•New York, NY

About The Position

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.

Requirements

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

Responsibilities

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