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Vice President – Lead Data Engineer (Data Cloud Platform)

Bla*** · New York, NY, United States
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New York, NY, United States162,000-215,000 USD/yearlyHybrid
Remuneration
162,000-215,000 USD/yearly
Location
New York, NY, United States
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Sponsors visa

Job summary

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.

Benefits

Including healthcare, leaveAnd retirementTo help you stay energized, engaged and inspired, we offer a wide range ofOur hybrid work modelEmployees are currently required to work at least 4 days in the office per week,Some business groups may require more time in the office due to their roles andAnd development opportunities to help them thrive.To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window).BlackRock is proud to be an equal opportunity workplace.View the EEOC’s Know Your Rights poster and its supplement (opens in new window)If reasonable accommodation/adjustments are needed throughout the employment pro

Qualifications

  • Extensive experience in data engineering, distributed systems, and modern data platforms (e.g., Snowflake).
  • Strong expertise in SQL and programming (Python, Java, or Scala).
  • Proven track record of building and scaling production-grade data platforms and pipelines.
  • Experience with streaming and event-driven architectures.
  • Deep understanding of data modeling, governance, and data quality frameworks.
  • Prior experience in financial services or asset management preferred.
  • For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 .
  • Additionally, employees are eligible for an annual discretionary bonus, and
  • of the law, including any applicable fair chance law.
  • Job Requisition #
  • R265027

Responsibilities

  • 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.
  • 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 engineering teams.
  • Influence enterprise architecture and platform strategy decisions.
  • Drive adoption of scalable, reusable, and standardized data solutions across the organization.

Skills

Leadership

Degrees

Associate

Industry

AutomotiveBankingEducationEnergyHealthcareMediaPublic-sector

Company size

EnterpriseSmb