Associate Principal Engineer, Data Engineer – Enterprise Data Architect, Banking Domain

Nagarro

Associate Principal Engineer focusing on enterprise data architecture and engineering for the banking domain at Nagarro. Leading strategic data initiatives and architecture governance in a dynamic work culture.

Posted 7/15/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and implementing enterprise data architecture strategies, governance practices, and data modeling techniques. Proficient in leveraging modern data platforms and ensuring compliance with industry standards and best practices.

Highest-signal resume keywords

Data ArchitectureEnterprise ArchitectureData GovernanceData ModelingCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture StrategyEnterprise Data ModelingData Flow DesignData Quality ManagementMetadata ManagementData Governance PracticesData Lake ArchitectureData Mesh ArchitectureData Fabric ArchitectureHybrid Data Architecture

Soft Skills

Analytical SkillsProblem-Solving SkillsDecision-Making Skills

Tools & Technologies

DatabricksSnowflakeCollibraLeanIXArdoq

Industry Keywords

Financial ServicesBankingInsuranceEnterprise Architecture ToolsAgile Delivery

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and drive the enterprise data architecture strategy, principles, standards, and target-state architecture.
Develop enterprise data architecture roadmaps and transition plans aligned with business and technology strategies.
Establish and lead enterprise data governance forums, architecture review boards, and decision-making processes.
Create and maintain enterprise data architecture artifacts, including conceptual, logical, and physical data models, data flows, and architecture blueprints.
Design enterprise data flows across business domains and ensure alignment with target-state architecture.
Review and approve data architecture deliverables, ensuring compliance with enterprise standards, governance policies, and best practices.
Collaborate with business, engineering, analytics, and architecture teams to design scalable and reusable data solutions.
Evaluate emerging data technologies, architecture patterns, and tools, providing recommendations aligned with organizational objectives.
Provide architectural guidance for cloud data platforms, including Databricks, Snowflake, and other modern data ecosystems.
Define and promote best practices for data modelling, metadata management, data quality, lineage, and governance.
Support enterprise transformation initiatives by ensuring consistency, interoperability, and scalability across the organization's data landscape.
Mentor architects and engineering teams on enterprise data architecture principles and governance practices.
Stay current with evolving data architecture methodologies, industry standards, and emerging technologies, driving continuous improvement across the enterprise.

Requirements

What you’ll need

Total Experience 11+ years
Strong experience in Data Architecture, Enterprise Architecture, or Data Engineering.
Proven experience defining and delivering enterprise data architecture strategies, target states, and architectural roadmaps.
Strong experience establishing and governing enterprise data architecture practices, including governance forums, operating models, and Terms of Reference (ToRs).
Experience creating enterprise data flows across business domains, including current state, transition state, and target state architectures.
Strong ability to review data architecture deliverables and ensure compliance with enterprise standards, policies, and governance principles.
Hands-on experience with enterprise data modelling and industry-standard data models such as FSLDM (Financial Services Logical Data Model) , BIRD (Banks' Integrated Reporting Dictionary) , or equivalent.
Strong understanding of modern data architecture paradigms, including, Data Lake, Data Mesh, Data Fabric, Hybrid Data Architecture, Agentic Data Architecture
Strong understanding of enterprise data governance, metadata management, data quality, lineage, and master data management concepts.
Experience collaborating with enterprise architects, business stakeholders, engineering teams, and governance bodies to deliver scalable data solutions.
Excellent analytical, problem-solving, and decision-making skills.
Experience working in Agile delivery environments.
Experience designing enterprise-wide logical and conceptual data models.
Experience evaluating, selecting, and recommending enterprise data architecture and modelling tools.
Hands-on experience with modern cloud data platforms such as Databricks , Snowflake , or similar technologies.
Familiarity with enterprise data governance platforms such as Collibra.
Experience with Enterprise Architecture tools such as LeanIX , Ardoq , or equivalent platforms.
Experience working in regulated industries such as Banking, Financial Services, or Insurance is an advantage.

Benefits

Comp & perks

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