Data Engineering Lead (SVP)
Core
Lead the engineering of cloud-native data services for the firm's strategic platform, driving migration to Databricks and delivering scalable Spark/Scala solutions on AWS.
Role type
Senior IC Data Engineering Lead (SVP)
Builds
Cloud-native data services, AI/GenAI platforms, and scalable data solutions for global finance
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Databricks (Lakehouse, Spark, Delta Lake), Apache Spark & Scala, AWS Cloud Data Engineering, Data Services Architecture, Engineering Architecture & Technical Delivery, Systems Analysis & Programming, Project Management, Technical Leadership
Preferred skills
Kafka / Event-Driven Architecture, Apache Iceberg, Python, AI/ML & LLM integration, Financial Services domain knowledge
Technologies
Databricks, AWS, Spark, Scala, Delta Lake, Kafka, Apache Iceberg
Responsibilities
Lead design and delivery of next-gen cloud data services; Design and optimize Databricks/AWS-based data solutions; Develop application methodologies and standards; Consult with end users to define system specifications; Allocate work and coach developers and analysts; Influence senior leaders and external parties; Assess risk and ensure compliance with laws and regulations
Seniority
Senior, hands-on IC with strategic leadership