BlackRock

Vice President – Lead Data Engineer (Data Cloud Platform)

BlackRock
US 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** ----------------- * 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** ------------------------ * 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** ------------------------ * Provide technical leadership, mentorship, and direction to high\-performing data engin

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