Data Platform Architect, Architecture – Aladdin Data

BlackRock•New York, NY

11d•$215,000 - $275,000•Hybrid

About The Position

The Aladdin Data Platform Engineering team builds and operates the foundational data and developer platforms that power the Aladdin ecosystem. Our portfolio includes the Enterprise Data Platform (EDP), Data Services and supporting infrastructure, and Aladdin Studio, the builder ecosystem for Aladdin. Together, these platforms enable the Aladdin community to acquire, manage, govern, process, and distribute third-party and proprietary data at enterprise scale. Through Aladdin Studio, we provide the tools, services, and runtime capabilities that enable data producers, consumers, integrators, and application builders to create and operate solutions on top of Aladdin. We operate at significant scale across a complex global technology landscape, where reliability, performance, interoperability, security, and developer experience are critical. 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. Working across platform engineering, product, and operations, you will influence architecture across data platforms, application programming interfaces, shared services, and Aladdin Studio. You will combine deep technical expertise, strong engineering judgment, and the ability to simplify complex systems and drive decisions across a large engineering organization.

Requirements

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.

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.