Associate Principal Engineer, Data Architecture – Functional Architecture

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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤝 B2B

🏢 Enterprise

B2B • Enterprise • Technology Consulting

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• 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

🎯 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.

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development