Senior Engineering Manager / Chapter Lead (Data Engineering)
Core
Lead a specialist data engineering chapter to build modern data platforms, pipelines, and controls for financial crime reporting and insights.
Role type
Senior Engineering Manager / Chapter Lead (Data Engineering)
Builds
Trusted data products, pipelines, reporting solutions, dashboards, and analytical datasets for financial crime detection and prevention.
Domain
Financial Services / Risk & Compliance / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
People leadership, AWS data services, large-scale data lake/warehouse design, data quality & lineage, DevSecOps, observability, automation, enterprise risk environments
Preferred skills
AI/ML engineering, modern cloud data practices, big data technologies (Spark, Hadoop, Hive, Teradata, Snowflake, AWS Glue)
Technologies
AWS, Snowflake, Spark, Hadoop, Hive, Teradata, SQL, PL/SQL, AWS Glue
Responsibilities
Lead and coach data engineers across multiple squads; guide design and delivery of data pipelines and reporting solutions; drive full-stack data engineering practices; partner with tech leads and business teams on strategic priorities; strengthen data quality and monitoring controls; modernize legacy data technologies to cloud-native AI-enabled solutions; champion DevSecOps and platform health.
Seniority
Senior, hands-on IC with people leadership
