Associate Principal Engineer, Data Architecture (Functional Architecture)

Job description

👋🏼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 9+ years’ experience - Strong experience in Data Architecture, Enterprise Architecture, Data Management, or related roles within the Financial Services industry. - Strong business domain expertise in one or more of the following: Risk, Finance, Treasury, Compliance, Transaction Banking, or Capital Markets. - In-depth understanding of financial products, including Loans, Deposits, Bonds, Derivatives, Swaps, and Options. - Strong knowledge of regulatory reporting frameworks such as FINREP, ILAAP, CCR, STE, TTR, and other EMEA regulatory reporting requirements. - Proven experience designing and implementing enterprise data architecture, governance frameworks, and target-state data architectures. - Demonstrated experience establishing governance operating models, architecture review forums, and enterprise data standards. - Strong expertise in enterprise data modelling and industry-standard data models such as FSLDM and BIRD. - Experience designing enterprise data flows, integration architectures, and cross-domain data solutions. - Knowledge of modern data architecture patterns, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI/Agentic data ecosystems. - Excellent stakeholder management, communication, facilitation, and influencing skills. - Strong analytical, problem-solving, and decision-making capabilities. - Hands-on experience with Databricks, Snowflake, or similar cloud data platforms. - Experience using enterprise data governance platforms such as Collibra. - Familiarity with Enterprise Architecture tools including LeanIX, Ardoq, or equivalent platforms. - Experience evaluating and selecting enterprise data technologies and architecture tools. - Knowledge of cloud-based data platforms, metadata management, master data management (MDM), and data quality frameworks. **RESPONSIBILITIES:** - Define, implement, and govern enterprise data architecture standards, policies, and frameworks across the assigned business domain. - Ensure data architecture artefacts, data products, and data deliveries comply with enterprise governance, quality, and regulatory requirements. - Lead domain data modelling activities and ensure alignment with enterprise and global data models. - Develop and maintain current, transition, and target-state data architectures and data flows across business domains. - Drive architecture decisions for enterprise data platforms, analytical solutions, and strategic data initiatives. - Establish and facilitate data governance forums, architecture review boards, and decision-making processes. - Collaborate with business stakeholders, data owners, technology teams, and enterprise architects to align on data standards and architecture roadmaps. - Provide architectural leadership for regulatory reporting and business transformation initiatives across Risk, Finance, Treasury, Compliance, or Transaction Banking domains. - Review and approve solution and data architecture artefacts to ensure adherence to enterprise standards and best practices. - Monitor emerging technologies and modern data architecture trends, recommending innovative solutions that support the organization's strategic objectives. - Contribute to the development of enterprise data strategy, governance capability, and future-state architecture roadmaps. - Promote the adoption of enterprise data governance, metadata management, and data quality practices across the organization Bachelor’s or master’s degree in computer science, Information Technology, or a related field.