Responsibilities
- Provide hands-on technical leadership and act as the technical authority for data architecture and engineering decisions.
- Design and implement AI-ready data platform capabilities, including semantic data layers, knowledge graph platforms, vector stores, and metadata-driven architectures.
- Define semantic models, measures, dimensions, ontologies, and governed data products for analytics, applications, APIs, and AI workloads.
- Architect knowledge graph solutions supporting entity resolution, relationship intelligence, and multi-hop reasoning.
- Build intent-driven data access patterns for AI assistants, agents, and applications across structured and unstructured enterprise data.
- Design and develop scalable, reliable data pipelines and analytics platforms using Snowflake, SQL, and Python.
- Influence technical prioritization, solution design, and architectural recommendations based on business impact.
- Oversee technical delivery and architectural coherence across initiatives.
- Champion data management, governance, security, automation, cloud technologies, and modern engineering practices.
- Translate business objectives and stakeholder needs into scalable technical solutions and communicate complex concepts to management.
Requirements
- Deep hands-on expertise in Snowflake, SQL, and Python within senior technical roles.
- Leadership experience directing complex initiatives and providing technical guidance to engineers, with or without direct line management.
- Experience designing semantic data models, business ontologies, data products, and metadata-driven architectures.
- Hands-on experience with graph databases such as Neo4j or equivalent and graph modeling patterns.
- Experience building AI-ready data platforms with vector databases, document retrieval systems, and RAG architectures.
- Strong knowledge of enterprise metadata management, data catalogs, lineage, governance, and business glossaries.
- Experience integrating LLMs, AI agents, copilots, or agentic workflows with enterprise data platforms.
- Deep understanding of data architecture, pipeline design, Airflow, dbt, Snowflake, and cloud platforms such as Azure or AWS.
- Ability to influence stakeholders, communicate effectively, and translate business requirements into scalable technical solutions.
- Preferred experience includes global and multilingual teams, Kubernetes, advanced observability, and financial services or private capital markets.
Benefits
- Strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off.
- Hybrid work model requiring at least 4 days in the office per week with flexibility to work from home 1 day per week.
- Some business groups may require additional time in the office.
Tech Stack
Categories
About BlackRock
BlackRock is a global asset manager and technology provider dedicated to helping more and more people experience financial well-being. We help millions of people invest to build savings that serve them throughout their lives. We always start with our clients’ needs and look to offer them more quality choices for how and where to invest their money. Our global investments platform offers our clients access to the world’s markets while making investing easier and more affordable. And with offices in more than 40 countries, our global expertise helps them navigate changing markets to stay ahead of the curve. Follow us for global insights shaping the economy, conversations about financial well-being and more information on culture and careers at BlackRock. https://bit.ly/3n6Fxdy