$ cat jobs/principal-engineer-domain-data-architecture-functional-data-nagarro1-555b63255f05.json
Principal Engineer, Domain Data Architecture (Functional Data Architecture)
👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in. REQUIREMENTS: Total Experience 12+ years Business knowledge/SME in either or all of the following domains: Risk, Finance, Transactions, Compliance, etc. This includes experience working in Financial Services organizations and dealing with business capabilities/processes for various products such as Loans, Deposits, Capital Market products (Derivatives, Bonds, Swaps, Options, etc.). Extensive knowledge of regulatory reporting requirements in these areas across EMEA and the associated solution landscape. Good understanding of the Trade Lifecycle, its actors/roles and responsibilities, and how data is managed throughout the lifecycle. Specialization in regulatory reporting areas such as ILAAP, FINREP, STE, TTR, CCR, etc., will be an added advantage. Proven ability to deliver enterprise data architecture policies and target states. Experience establishing governance functions, drafting Terms of Reference (ToRs), and chairing governance forums. Ability to create data flows across domains (target states, transition states, etc.). Competence in reviewing data architecture artifacts and making decisions based on policies and standards. Experience with data modelling and industry standards (e.g., FSLDM, BIRD). Understanding of current data methodologies (e.g., Data Lake, Data Mesh, Data Fabric, Hybrid, Agentic). Data modelling experience/knowledge. Experience evaluating and recommending data tools. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra and Enterprise Architecture tools such as Lean
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