Associate Principal Engineer, Data Engineer (Enterprise Data Architecture- Banking domain)

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:** - Toal Experience 9+ years’ experience - Proven experience designing and delivering enterprise data architecture strategies, policies, standards, and target-state architectures. - Demonstrated experience establishing enterprise data governance functions, developing governance frameworks, drafting Terms of Reference (ToRs), and leading architecture review forums. - Strong experience designing enterprise-wide data flows, integration architectures, and transition-state roadmaps across multiple business domains. - Experience reviewing and approving data architecture artefacts in accordance with enterprise policies, governance standards, and architectural principles. - Strong knowledge of enterprise data modelling methodologies and industry-standard models such as FSLDM, BIRD, or equivalent frameworks. - Solid understanding of modern data architecture paradigms, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and Agentic AI concepts. - Excellent stakeholder management, communication, facilitation, and decision-making skills. - Strong analytical and problem-solving abilities, with experience influencing architecture decisions in complex enterprise environments. - Enterprise data modelling experience using industry-standard modelling tools. - Experience evaluating, selecting, and implementing enterprise data architecture tools and technologies. - Hands-on experience with cloud data platforms such as Databricks, Snowflake, or equivalent. - Experience with enterprise data governance and metadata management platforms such as Collibra. - Familiarity with Enterprise Architecture tools, including LeanIX, Ardoq, or similar platforms. - Experience working in Financial Services, Banking, or other highly regulated industries. **RESPONSIBILITIES:** - Define, implement, and maintain enterprise data architecture principles, standards, policies, and target-state architectures aligned with business and technology strategies. - Design and govern current-state, transition-state, and target-state data architectures and data flows across multiple business domains. - Develop and maintain enterprise data models, ensuring alignment with industry standards and organizational data architecture principles. - Review and approve data architecture artefacts, ensuring compliance with enterprise governance, policies, standards, and best practices. - Establish and support enterprise data governance functions, architecture review boards, and governance forums, including developing Terms of Reference (ToRs). - Provide architectural leadership and guidance for strategic data initiatives, enterprise data platforms, and data product development. - Collaborate with business stakeholders, enterprise architects, solution architects, and engineering teams to define scalable and future-ready data solutions. - Evaluate and recommend enterprise data architecture methodologies, technologies, and tools to support business transformation. - Promote adoption of modern data architecture approaches, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI-enabled data ecosystems. - Drive continuous improvement by identifying opportunities to enhance enterprise data architecture capabilities, governance, and operating models. - Stay informed of emerging technologies, industry trends, and regulatory developments to ensure the organization's data architecture remains current and effective. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.