Vice President, Lead Data Engineer, Data Cloud Platform

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$162,000–$215,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $188k
$134k most similar roles pay here $224k

This role pays more than 57% of similar roles. Most pay $157,200–$212,262 — the shaded band above. At the midpoint, this role pays about $188k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 86 open roles on FindRole.

Listed pay typically runs $148,000–$190,000 across 83 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Vice President, Lead Data Engineer, Data Cloud Platform

Role Posting Log in to save

As Vice President – Lead Data Engineer at the enterprise Data Cloud Platform, you will drive the strategic development and delivery of advanced data engineering capabilities. This senior leadership role involves designing scalable, governed, and event-driven data ecosystems that support investment, analytics, and reporting platforms with real-time data. You will lead high-performing teams in building batch and real-time pipelines, championing modern architecture patterns like streaming frameworks using tools such as Kafka, and establishing robust governance practices. Key responsibilities include defining data engineering strategies, driving enterprise data modeling standards, and ensuring alignment between technical initiatives and business outcomes in the financial services domain. The ideal candidate has extensive experience with distributed systems, Snowflake, SQL, Python, Java, or Scala, and a proven track record of building scalable production-grade platforms.

Skills

Snowflake Python Java Scala SQL Kafka CI/CD Docker Terraform AWS Azure GCP PostgreSQL Data Governance Event-Driven Architecture Streaming Platforms Data Modeling Data Quality Financial Services Data Engineering

What you'll do

  • Define and execute data engineering strategy for scalable, reliable, and cost-efficient batch and real-time pipelines.
  • Lead development of event-driven architectures using streaming platforms like Kafka.
  • Establish enterprise data modeling standards and promote reusable domain-aligned data products.
  • Oversee robust data governance practices including quality, lineage, and observability.
  • Provide technical leadership and mentorship to high-performing data engineering teams.

What we're looking for

  • Extensive experience in data engineering and distributed systems.
  • Expertise in SQL, Python, Java, or Scala for production-grade platforms.
  • Proven track record of building scalable data pipelines and platforms.
  • Experience with streaming architectures and event-driven frameworks.
  • Deep knowledge of data modeling, governance, and quality standards.
  • Prior experience in financial services or asset management preferred.

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