VP, Data Engineering (Financial Firm)
Core
Designing scalable data pipelines, cloud-native architectures, and AI/ML operationalization to enable data-driven decision-making and governance for a global financial firm.
Role type
VP, Data Engineering (Financial Services)
Builds
Enterprise data platforms, data-driven applications, APIs, microservices, and CI/CD pipelines.
Domain
Financial Services / Cloud Data Engineering / AI/ML Ops
Deliverable
production ML models | infrastructure | product features
Required skills
Python, SQL, Java, Cloud Architecture (AWS/Azure), Data Modeling, ETL Pipeline Development, DevOps/CI/CD, Microservices, AI/ML Ops
Preferred skills
Front-end frameworks (React), Risk Frameworks understanding
Technologies
AWS, Azure, Snowflake, EMR, Jenkins, Ansible
Responsibilities
Design and develop scalable data pipelines; Partner with data scientists to deploy AI/ML products; Ensure adherence to data governance and compliance; Develop data-driven applications and APIs; Drive cloud-native solutions and implement CI/CD pipelines; Collaborate on enterprise data strategy; Operate within risk frameworks.
Seniority
VP, Strategy & Hands-on Leadership