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About the role
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. Comfortable being the senior technical presence in the room with client stakeholders from day one. No ramp-up period.
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