Associate Principal Engineer, Data Architecture (Functional Architecture)

 Posted a day ago
  
 India
  
10+ years experience
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AI Summary

Define and govern enterprise data architecture standards and frameworks across financial business domains. Lead data modelling activities and drive architectural decisions for enterprise data platforms and regulatory reporting initiatives.

Company 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.

Job Description

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

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

  • Service Region: South Asia
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