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Associate Principal Engineer, Data Architecture – Functional Architecture
NagarroAssociate Principal Engineer, Data Architecture at Nagarro, a digital product engineering company, focusing on enterprise data architecture within financial services.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and implementing enterprise data architecture standards and governance frameworks, with a strong focus on regulatory compliance and data quality. Proven ability to lead data modeling activities and collaborate with stakeholders to align on data architecture roadmaps across financial services domains.
Highest-signal resume keywords
Data ArchitectureEnterprise ArchitectureData GovernanceRegulatory Reporting FrameworksData Modelling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementEnterprise Data ModellingData Flows DesignIntegration ArchitecturesFinancial Products KnowledgeData Quality FrameworksModern Data Architecture PatternsTarget-State Data ArchitecturesGovernance Operating ModelsAnalytical Solutions
Soft Skills
Stakeholder ManagementCommunicationFacilitationInfluencingProblem-Solving
Tools & Technologies
DatabricksSnowflakeCollibraLeanIXArdoq
Industry Keywords
Financial ServicesRiskFinanceTreasuryComplianceTransaction BankingCapital MarketsEMEA Regulatory RequirementsFSLDMBIRD
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development