Director - T&O Data Engineering
BlackRock · Posted Sep 28
Investment management, asset management, risk analytics, and wealth services
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About the role
The BlackRock Data Office (BDO) advances the firm's enterprise data strategy by building trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock. The team partners with product managers, data stewards, platform engineers, software engineers, data scientists, and senior business stakeholders to enable analytics, reporting, AI, machine learning, and digital products. As a Director, Data Engineering, the role provides technical leadership for enterprise-scale data platforms, defines target-state architecture, and drives delivery of high-impact data solutions supporting business and investment outcomes.
What you will do
- Define and evolve the target-state architecture for enterprise-scale 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.
- 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.
- Define and drive technology strategy, target-state architecture, and engineering direction across application and data platforms while ensuring alignment with broader BlackRock Data Office strategy.
- Provide technical leadership for distributed application, integration, and data platforms, guiding critical design and architecture decisions across enterprise data technologies.
- Translate business priorities into executable technology roadmaps with planned delivery objectives.
- Establish engineering standards and ensure solutions are designed for quality, resilience, security, operational excellence, and governance.
- Partner with business and technology stakeholders to evaluate strategic trade-offs, manage dependencies, and maximize business outcomes.
- Develop senior engineering talent and foster a culture of accountability, collaboration, innovation, and continuous improvement.
- Drive adoption of AI-enabled engineering capabilities and intelligent automation opportunities while maintaining appropriate risk and control standards.
Skills used in this role
What the employer is looking for
- 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 data platforms for AI and structure, semi-structure and unstructured-data workloads, including object storage, document management, metadata, retrieval, vector or graph technologies, security, and operational reliability.
- Deep expertise in Python, Java, Scala, SQL, Snowflake, DBT, cloud-based data platforms, and large-scale distributed data analytics environments, with a proven track record of delivering enterprise-grade solutions.
- Strong experience designing and operating high-volume batch and real-time data pipelines, workflow orchestration solutions, data-transformation frameworks, and distributed event streaming architectures.
- Expertise in cloud and hybrid technology environments, including AWS, Microsoft Azure, containerized platforms, infrastructure automation, data governance, metadata management, lineage, and enterprise security controls.
- Strong understanding of application programming interfaces, data modeling, data-quality frameworks, observability, performance optimization, and modern software-engineering practices supporting scalable platforms.
- Experience leading technical teams, mentoring engineers, driving architectural decisions, and influencing organizational standards in a fast-paced, highly collaborative environment.
- Exposure to machine learning, artificial intelligence, generative AI, and enterprise data patterns that enable AI-ready products and platforms.
- 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.
Benefits and support
- strong retirement plan
- tuition reimbursement
- comprehensive healthcare
- support for working parents
- Flexible Time Off (FTO)
About BlackRock
BlackRock, Inc. is an American multinational investment management corporation and the world's largest asset manager. The firm provides institutional and individual clients with a broad range of investment, advisory, and risk management products, including its proprietary Aladdin financial technology platform. Headquartered in New York City, BlackRock manages trillions in assets across global equity, fixed income, alternative investments, and iShares exchange-traded funds (ETFs).
- Industry
- Investment Management
- Company size
- 24900 employees
- Founded
- 1988-03-09
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Director
Chief Financial Officer and Global Head of Corporate Strategy
Chief Operating Officer
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