Description
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.
As a Director, Data Engineering, you will provide technical leadership for enterprise-scale data platforms and drive the delivery of high-impact data solutions that support critical business and investment outcomes.
Your responsibilities:
- 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.
- Partner with engineering, product, and operations teams from technical discovery and prototyping through implementation, rollout, and adoption.
- Define and drive technology strategy, target-state architecture, and engineering direction across application and data platforms.
- Provide technical leadership for distributed application, integration, and data platforms.
- 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.
Your experience:
- Extensive experience in data platform architecture, data engineering, distributed systems, or related disciplines.
- Experience designing governed data platforms for AI and structure, semi-structure and unstructured-data workloads.
- Deep expertise in Python, Java, Scala, SQL, Snowflake, DBT, cloud-based data platforms, and large-scale distributed data analytics environments.
- Strong experience designing and operating high-volume batch and real-time data pipelines.
- 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.
- Experience leading technical teams, mentoring engineers, driving architectural decisions, and influencing organizational standards.
Our benefits:
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
Our hybrid work model:
- Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week.