Manager, Data Engineering
Core
Leading a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure for high-performance data workflows and seamless data integration.
Role type
Manager, Data Engineering
Builds
Scalable data pipelines, ETL processes, and data infrastructure for business partners to generate insights.
Domain
Investment Management / Financial Services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
People leadership (managing teams >5), Data/DataOps Engineering, Python/Pyspark, AWS resources, Data modeling and warehousing, CI/CD workflows, SQL/Ad-hoc queries
Preferred skills
DevOps/SRE thinking, SCRUM-Agile implementation, DataLake/Lakehouse/EDW methodologies, GIT/post-pre-scripting
Technologies
Python, Pyspark, AWS, Jira, Azure DevOps, GIT
Responsibilities
Hire, evaluate, and supervise data engineering crew; Manage and optimize automation of ETL and QA processes; Translate business specifications into design specifications and code; Manage planning and execution of data production projects; Educate junior engineers and develop data engineering standards.
Seniority
Manager, hands-on leadership