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# Lead Platform Engineer (Java,Python) - Vice President

- **Company:** Blackrock, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $162,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer Programming, Continuous Integration, Data Governance, Data Infrastructure, Dataspaces, Distributed Systems, Python (Programming Language), Event Driven Architecture, Real Time Data, Apache Kafka
- **Published:** October 15, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3448911383&tx=KL6767FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Extensive experience in platform engineering, distributed systems, and modern event-driven solutions (e.g., Kafka).
 * Strong expertise in programming (Python, Java, or Scala).
 * Proven track record of building and scaling production-grade platforms.
 * Experience with streaming and event-driven architecture.
 * Prior experience in financial services or asset management preferred.

## Description

The Vice President - Lead Platform Engineer will drive the strategy, architecture, and delivery of next-generation engineering capabilities on Aladdin. 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., * Lead the design and delivery of enterprise-grade platforms that will act as building blocks for the rest of the business.

 * Champion modern architecture patterns, including event-driven and streaming frameworks.
 * Establish and enforce platform-as-a-product principles, and governance frameworks.
 * Serve as a senior technical leader partnering across engineering, product, and platform organizations.
 * Key Responsibilities
 * Define and execute the data platform engineering strategy around event-driven systems, ensuring scalability, reliability, and cost efficiency.
 * Lead development of event-driven architectures leveraging streaming platforms (e.g., Kafka) and modern processing frameworks.
 * Establish robust data governance, quality, lineage, and observability practices across the platform.
 * 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 engineering teams.
 * Influence enterprise architecture and platform strategy decisions.
 * Drive adoption of scalable, reusable, and standardized solutions across the organization.
 * Ensure alignment between platform engineering initiatives and business outcomes, particularly in financial services and investment domains.