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# Data Platform Architect, Architecture - Aladdin Data

- **Company:** Blackrock, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Software Quality, Continuous Delivery, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, Document Management Systems, Distributed Systems, Fault Tolerance, Interoperability, Python (Programming Language), Enterprise Messaging Systems, Metadata, Release Management, DataOps, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Workflow Management Systems, Data Processing, Event Driven Architecture, Low Latency, Data Management
- **Published:** September 4, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3380065502&tx=ZT2019TTT&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 data platform architecture, data engineering, distributed systems, or related disciplines, including designing scalable, reliable, high-performance, and cost-effective enterprise data platforms across complex, multi-team environments.
 * Experience designing governed platforms for AI and unstructured-data workloads, including object storage, document management, metadata, retrieval, vector or graph technologies, security, and operational reliability.
 * Experience designing high-performance data services and APIs with demanding scale, availability, throughput, and latency requirements, supported by strong knowledge of distributed systems and integration patterns.
 * Technical fluency in data modeling and transformation, Structured Query Language (SQL), Python or Java, reusable packages, automated testing, and continuous integration and continuous delivery practices.
 * Experience with streaming and event-driven architectures using distributed event streaming and messaging platforms and stateful stream and batch data processing engines, including schema management, delivery semantics, event time, checkpointing, and fault tolerance.
 * Proven architecture leadership and technical judgment across workflow orchestration, Data Operations, release management, observability, cloud infrastructure, and source-control and delivery platforms, with the ability to simplify systems and make pragmatic trade-offs.
 * Ability to influence through technical credibility, align engineering, product, architecture, and executive stakeholders, communicate complex concepts clearly, and operate effectively in financial services or another highly regulated industry.

## Description

We are looking for an accomplished technical architect to help shape the future of Aladdin's data platform. This is a senior individual-contributor leadership role for an architect who wants to do more than produce designs or provide technical advice. You will define architectural direction and work with engineering teams to turn that direction into production systems, common platforms, and measurable improvements in reliability, scalability, performance, and developer productivity., In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

 * Define and evolve the target-state architecture for Aladdin Data platforms, shared services, application programming interfaces (APIs), software development kits (SDKs), metadata, configuration, and data models, while guiding investments and technology adoption that improve scalability, reliability, performance, security, interoperability, and developer experience.
 * Shape platform capabilities for artificial intelligence (AI) and agent-based applications across structured and unstructured data, including metadata, retrieval, governance, application development, and workload orchestration.
 * Partner with engineering, product, and operations teams from technical discovery and prototyping through implementation, rollout, and adoption, validating architectural decisions against production outcomes and adjusting designs as needed.
 * Drive measurable improvements in availability, throughput, latency, scalability, onboarding speed, and engineering productivity, using recurring production and operational issues to identify and resolve systemic platform problems.
 * Define reference architectures, engineering patterns, and technical guardrails for code quality, testing, security, observability, resilience, and release management, and lead reviews that produce clear decisions while keeping governance practical and enabling.
 * Establish reusable, paved-road capabilities through libraries, templates, infrastructure, APIs, automation, tooling, documentation, and self-service patterns that reduce fragmentation and improve development speed and consistency.
 * Serve as a senior technical leader and force multiplier by mentoring engineers and architects, advancing modern engineering practices, and leading cross-platform initiatives that improve design quality, delivery automation, observability, resilience, and performance.


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