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ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
The client is an independent, active global asset manager with over R3 trillion in assets under management. It is executing a firm-wide data strategy to govern, manage, and engineer data as a product across more than 70 business-owned sub-domains, and is migrating to Databricks as the foundational layer of its Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines, and Unity Catalog.
задачи
Elicit requirements from domain owners and stewards and turn them into engineer-ready specifications with source-to-target mappings, semantic definitions, and DQ expectations
Define data contracts and agree acceptance criteria for each migrated domain
Maintain the programme backlog in Azure DevOps in line with the client’s ways of working
Track cross-domain dependencies and surface them to the Delivery Manager and Programme Steering
Own the domain migration readiness checklist before a domain enters build, including steward commitment, documented source contracts, and agreed consumption use cases
Contribute to documentation alongside the code
требования
Background in financial services, ideally asset management, banking, or capital markets
Knowledge of at least one asset class, ideally fixed income
Familiarity with investment management data, including positions, transactions, portfolio, performance, security master, and reference data
5+ Years of business analysis on data or platform programmes
Strong experience with Azure DevOps for backlog management, sprint planning, and reporting
Comfort with data engineering vocabulary, including schemas, contracts, lineage, DQ, medallion architecture, and Unity Catalog
Track record of writing engineer-ready requirements rather than high-level statements
Experience working across multiple domain teams and stakeholders on a single programme
Fluent working English
Будет плюсом: prior experience in a federated data mesh or data domain operating model, Databricks working knowledge sufficient to walk a steward through Unity Catalog artefacts, experience with AI tooling, particularly AI agents