VP - Senior Data Engineer
Core
Architect and oversee scalable data pipelines and analytics platforms for private markets data, serving BlackRock's investment teams.
Role type
VP Senior Data Engineer (hands-on IC with team management)
Builds
End-to-end data infrastructure, analytics platforms, and AI/ML solutions for private equity, real estate, and infrastructure data.
Domain
Financial services / Private capital markets
Deliverable
production ML models | product features | infrastructure
Required skills
Snowflake, SQL, Python, data architecture, pipeline design (dbt), cloud platforms (Azure/AWS), infrastructure as code (Terraform), CI/CD
Preferred skills
Kubernetes, advanced observability, AI/ML project experience
Technologies
Snowflake, dbt, Dagster, Airflow, Azure, AWS, Terraform
Responsibilities
Provide hands-on technical leadership for data architecture; Architect and oversee development of scalable data pipelines; Define engineering standards for ingestion, schema evolution, and data quality; Manage a team of Data Engineers; Drive adoption of advanced analytics and AI/ML solutions.
Seniority
VP, hands-on IC with team management