Director - Data Engineering
Core
Design, implement, and manage highly scalable, high-performance data systems powering core investment and analytical capabilities for a financial firm.
Role type
Director - Data Engineering & Architecture
Builds
Next-generation data platform, ETL/ELT pipelines, cloud-native ML services, and predictive models.
Domain
Financial services / Capital markets / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems architecture, Snowflake data warehousing, Cloud infrastructure (AWS/Azure), SQL tuning and optimization, Python programming, Database design (OLTP/OLAP), Team leadership and mentorship, Post-mortem analysis, Container orchestration (Snowpark Container Services), Linux/Unix environments, Bash scripting.
Preferred skills
Machine learning project experience, Full-stack data science tooling (Numpy, Pandas, Matplotlib, Streamlit), PostgreSQL internals expertise, Performance monitoring tools.
Technologies
Snowflake, AWS, Azure, Snowpark Container Services, PostgreSQL, Linux, Bash, Python, Numpy, Pandas, Matplotlib, Streamlit.
Responsibilities
Lead and mentor a distributed team of data and platform engineers; Oversee design and implementation of ETL/ELT pipelines for multi-terabyte scale data stores; Drive integration of advanced data science workflows and predictive models; Partner with investment and risk teams to translate business requirements into database solutions; Guide best practices for cloud infrastructure and containerized data services; Lead deep-dive post-mortem analysis for complex database issues.
Seniority
Director, strategic leadership with hands-on technical execution
