Chapter Lead
Core
Lead data engineering capability and shape modern data platforms, controls, and engineering practices for a critical data platforms crew within Economic Crime.
Role type
Senior Engineering Manager / Chapter Lead (Data Engineering)
Builds
Modern AWS, Snowflake, AI, and ML-powered data platforms, pipelines, and trusted data products.
Domain
Financial Services / Economic Crime Compliance / Data Engineering
Deliverable
production ML models
Required skills
Solution design, architecture, coding, technical reviews, team leadership, coaching, AWS data services, large-scale data lakes/warehouses/pipelines, data quality and lineage, DevSecOps, observability, automation, Spark, Hadoop, Hive, Teradata, SQL, PL/SQL, Snowflake, AWS Glue.
Preferred skills
AI, ML, AI-powered engineering, managing data to support AI systems.
Technologies
AWS, Snowflake, Spark, Hadoop, Hive, Teradata, SQL, PL/SQL, AWS Glue
Responsibilities
Lead and coach data engineers across multiple squads; design, deliver, test, and maintain trusted data products and pipelines; drive full-stack data engineering uplift; partner with Tech Lead and business teams to align delivery with strategic priorities; strengthen data quality, lineage, and monitoring controls; modernize financial crime technology and reporting capabilities; champion DevSecOps and secure engineering practices; support transition from legacy big data to cloud and AI-enabled ways of working.
Seniority
Senior, hands-on IC with people leadership
