Vice President – Lead Data Engineer (Data Cloud Platform)
BlackRock
New York, NY, US
Onsite
2026-06-30
Announced salary
$162,000 - $215,000
Low
$114K
Median
$150K
High
$196K
Market in New York · BLS OEWS 2025
Estimated net pay
$9,409 - $12,314
/month · 30% withheld
after tax & contributions · Single, no dependents
Job description
Locations: **New York, New York**
**Job description**
-------------------
**About this role**
**Vice President – Lead Data Engineer (Data Cloud Platform)**
The Vice President – Lead Data Engineer will drive the strategy, architecture, and delivery of next\-generation data engineering capabilities on the enterprise Data Cloud Platform. This role is responsible for building scalable, governed, and event\-driven data ecosystems that power investment, analytics, and reporting platforms with high\-quality, near real\-time data.
**Role Overview**
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* Lead the design and delivery of enterprise\-grade data pipelines and domain\-oriented data products.
* Champion modern data architecture patterns, including event\-driven and streaming frameworks.
* Establish and enforce data\-as\-a\-product principles, standardized data models, and governance frameworks.
* Serve as a senior technical leader partnering across engineering, product, and platform organizations.
**Key Responsibilities**
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* Define and execute the data engineering strategy for batch and real\-time pipelines, ensuring scalability, reliability, and cost efficiency.
* Lead development of event\-driven architectures leveraging streaming platforms (e.g., Kafka) and modern processing frameworks.
* Drive enterprise data modeling standards (conceptual, logical, physical) and promote reusable, domain\-aligned data products.
* Establish robust data governance, quality, lineage, and observability practices across the platform.
* Oversee end\-to\-end data lifecycle management, from ingestion through consumption and archival.
* Partner with cross\-functional teams to align platform capabilities with business and investment use cases.
* Promote engineering excellence through CI/CD, automation, and standardized development practices.
**Leadership \& Impact**
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* Provide technical leadership, mentorship, and direction to high\-performing data engin