Director - Data Engineering

About this role The Role We are seeking a Data Architect & Engineering Lead to drive the strategy and execution of our next-generation data platform. This leader will be responsible for designing, implementing, and managing highly scalable, high-performance data systems that power our core investment and analytical capabilities. The ideal candidate has deep expertise in distributed systems, modern cloud data architectures, and a proven track record of leading high-impact engineering teams, particularly within the financial or capital markets sector. Key Responsibilities Team Leadership & Mentorship: Lead and mentor a distributed team of data and platform engineers, fostering a culture of technical excellence, accountability, and professional growth. High-Performance Data Solutions: Oversee the design and implementation of ETL/ELT pipelines using Cloud Data warehouses like Snowflake ensuring data quality and compliance for multi-terabyte scale data stores. Advanced Analytics & ML Integration: Drive the integration of advanced data science workflows, leveraging cloud-native ML services to enhance predictive models and analytical dashboards. Stakeholder & Customer Success: Partner with investment, risk, and product teams to translate complex business requirements into high-performance database solutions. Infrastructure Management: Guide best practices for cloud infrastructure (Azure or AWS) and containerized data services (Kubernetes, Snowpark Container Services). Advanced Troubleshooting & Post-Mortems: Lead deep-dive post-mortem analysis and provided architectural solutions for highly complex database issues. Required Qualifications 15 years of progressive experience in Data Engineering, Database Architecture, and Distributed Systems, with significant time spent in a technical lead role. Proven expertise in modern data warehousing technologies, specifically Snowflake Hands-on experience with managing a variety of database flavors(OLTP, Cloud native Datawarehouse, distributed column stores) and Query engines at massive scale. Strong background in cloud infrastructure and services, either AWS/Azure. Demonstrated ability to perform database design, SQL tuning, and query optimization for both OLTP and OLAP systems. Strong expertise at writing complex SQL and Python. Experience of building analytics with full-stack data science and data visualization tooling like Numpy, Pandas, Matplotlib and Streamlit. Knowledge and experience working in classical or modern Machine learning projects preferred but not necessary. Experience closely working with ML Engineers. Master’s or Bachelors in Computer Science/Maths/Statistics. Manage database objects such as schemas, tables, indexes, triggers, and views Ensure high availability, reliability, and data integrity of databases Perform regular database maintenance and health checks Support production databases and resolve data‑related incidents Monitor database performance and system health Identify and resolve performance bottlenecks Tune SQL queries, indexes, and database configurations Assist development teams with query optimization and schema design Maintain documentation for database configurations and procedures Strong expertise in PostgreSQL architecture and internals Advanced knowledge of SQL and PL/pgSQL Experience with performance tuning and monitoring tools Familiarity with Linux/Unix environments Scripting skills (Bash, Python, or similar) 
For Atlanta, GA Only the salary range for this position is USD$0.00 - USD$0.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
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