Director - Data Engineering

BlackRock•Atlanta, GA

23h•Hybrid

About The Position

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.

Requirements

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.
Experience closely working with ML Engineers.
Master’s or Bachelors in Computer Science/Maths/Statistics.
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)

Nice To Haves

Knowledge and experience working in classical or modern Machine learning projects preferred but not necessary.

Responsibilities

Lead and mentor a distributed team of data and platform engineers, fostering a culture of technical excellence, accountability, and professional growth.
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.
Drive the integration of advanced data science workflows, leveraging cloud-native ML services to enhance predictive models and analytical dashboards.
Partner with investment, risk, and product teams to translate complex business requirements into high-performance database solutions.
Guide best practices for cloud infrastructure (Azure or AWS) and containerized data services (Kubernetes, Snowpark Container Services).
Lead deep-dive post-mortem analysis and provided architectural solutions for highly complex database issues.
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