Data Platform Architect

Blackrock

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$215,000–$275,000 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $245k
$145k most similar roles pay here $289k

This role pays more than 73% of similar roles. Most pay $175,106–$247,053 — the shaded band above. At the midpoint, this role pays about $245k versus about $211k 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 81 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 77 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Data Platform Architect

Data Platform Architect, Architecture – Aladdin Data is a senior individual-contributor leadership role within the Aladdin Data Platform Engineering team. You will define and evolve target-state architectures for data platforms, shared services, APIs, SDKs, and data models while shaping capabilities for artificial intelligence and agent-based applications across structured and unstructured data. The role involves building paved-road capabilities through libraries, automation, and infrastructure to improve reliability, scalability, and developer experience. You will utilize technical expertise in distributed systems, SQL, Python, or Java to solve complex problems regarding high-performance data services and event-driven architectures. Key responsibilities include establishing engineering patterns for security, observability, and release management while mentoring engineers. The work focuses on the Aladdin ecosystem, specifically building foundational platforms that enable the acquisition, management, governance, and distribution of third-party and proprietary data at enterprise scale.

What you'll do

  • Define and evolve target-state architecture for data platforms, shared services, APIs, and data models.
  • Shape platform capabilities for artificial intelligence and agent-based applications across structured and unstructured data.
  • Partner with engineering and product teams to move projects from technical discovery through implementation and adoption.
  • Drive measurable improvements in system availability, throughput, latency, scalability, and developer productivity.
  • Establish reference architectures, engineering patterns, and technical guardrails for code quality, security, and observability.
  • Create "paved-road" capabilities including libraries, templates, and automation to reduce fragmentation and increase development speed.
  • Mentor engineers and architects while leading cross-platform initiatives to improve design quality and delivery automation.

What we're looking for

  • Extensive experience in data platform architecture, data engineering, and distributed systems.
  • Experience designing governed platforms for AI and unstructured-data workloads using vector/graph technologies and object storage.
  • Experience designing high-performance data services and APIs with high availability and low latency requirements.
  • Technical fluency in SQL, Python or Java, data modeling, and CI/CD practices.
  • Experience with streaming and event-driven architectures using distributed messaging platforms and batch processing engines.
  • Proven leadership in workflow orchestration, cloud infrastructure, release management, and observability.
  • Ability to influence stakeholders and communicate complex concepts within highly regulated industries.
  • Ability to mentor engineers and lead cross-platform initiatives to improve design quality and delivery automation.

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