Data Engineer, Vice President
About this roleThe ALADDIN ITE-QAE team is a globally distributed engineering organization building scalable technology for financial analytics. We design and evolve data and analytics platforms that enable our quantitative models to be delivered in a robust, consistent, and performant manner.We own the end-to-end stack supporting analytics across pricing, risk, attribution, optimization, scenarios, and portfolio analytics—spanning data pipelines, analytics infrastructure, and calculation engines —integrated into the broader Aladdin ecosystem for internal users and external clients.We partner closely with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness.Job Purpose / BackgroundWe are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support analytics and client use cases across Aladdin.Data includes indicative attributes, prices, analytics, exposures, index-related and derived fields; datasets are quality-controlled and integrate seamlessly with client custom data. You will design production-grade systems, translating requirements into scalable, maintainable platform solutions and drive AI adoption by leveraging AI-assisted tools for coding, testing, and documentation—while adhering to data privacy, security, and governance standards.Key Role Responsibilities· Design and own scalable data infrastructure/models optimized for Snowflake· Build and maintain robust ETL pipelines to ingest, transform, and curate large datasets· Partner with SMEs/modelers to translate requirements into optimal data designs· Implement data quality, validation, and monitoring frameworks· Optimize workloads for performance, scalability, and cost· Adopt AI-assisted engineering tools to improve delivery speed and quality, with appropriate controls· Standardize deployments and ensure production readiness and SLA adherenceSkillset· Strong hands-on Python, 7+ years professional experience· Experience with ETL, data curation, and analytical workloads on distributed frameworks· Built ingestion pipelines for large-scale datasets using industry-standard tooling· Solid understanding of database internals and data modeling· AI tools adoption: experience using AI assistants (e.g., coding copilots) for development, troubleshooting, and documentation, with strong awareness of data privacy, IP, and responsible use· Cloud (AWS/Azure/GCP) and DevOps exposure a plusOur benefitsTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that...