Description

Required Background

• 10+ years in enterprise data architecture, data engineering, or solution architecture roles.
• Direct experience in financial services, ideally capital markets, asset management, or securities operations. Candidate should recognize terms like reference data, corporate actions, and reconciliation without explanation.
• Hands-on ETL and data warehousing expertise: Informatica, Snowflake , or comparable enterprise-grade tooling .
• Production Python for data pipelines and integration work , not scripting on the side.
• Experience with REST APIs, message queues (Kafka or similar), and containerized deployments (Docker).
• Track record owning delivery end to end, from data analysis and architecture through production support, ideally with distributed or offshore team coordination

Key Skills

Education

Any Gradute