Director, Data Engineering – Enterprise Data Platforms

Gohyred; United States; Hybrid; USD 31,000 - 62,000; Full time

Benefits offered by this job

Retirement plan

Tuition reimbursement

Healthcare

Parental support

Flexible Time Off

Job summary

BlackRock is hiring a Director, Data Engineering to lead enterprise‑scale data platforms, ensure governance and security, and steer AI‑enabled data initiatives. You will mentor engineers, set architectural direction, and partner across technology and business teams.

You will shape long‑term data strategy, drive scalable data pipelines, and advance analytics, reporting, and AI capabilities within a hybrid work model.

Qualifications

• Extensive experience designing scalable, enterprise data platforms across multi‑team environments.
• Experience with AI/ML ready data architectures and governance.

Responsibilities

• Define target‑state architecture for enterprise data platforms, APIs, SDKs, and data models to improve scalability and reliability.
• Partner with engineering, product and operations from discovery to rollout, validating architectural decisions against production outcomes.
• Define technology strategy and engineering direction across data platforms in alignment with Data Office strategy.
• Provide technical leadership for distributed data platforms and advise on critical design decisions.
• Translate business priorities into executable roadmaps with delivery objectives.
• Establish engineering standards for quality, security, and governance.
• Mentor senior engineers and foster accountability and collaboration.
• Drive adoption of AI‑enabled capabilities while maintaining risk controls.

Skills

Data architecture

Python

Java

Snowflake

Cloud platforms

API design

Team leadership

AI/ML familiarity

Tools

DBT

Kubernetes

Spark

Job description

BlackRock is hiring a Director, Data Engineering to lead enterprise‑scale data platforms, ensure governance and security, and steer AI‑enabled data initiatives. You will mentor engineers, set architectural direction, and partner across technology and business teams.

You will shape long‑term data strategy, drive scalable data pipelines, and advance analytics, reporting, and AI capabilities within a hybrid work model.