Associate Principal Engineer, Data Architecture (Functional Architecture)
Remote, India Full-time
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.
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.
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