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RemoteListed Jul 3, 2026

Associate Principal Engineer, Data Engineer (Enterprise Data Architecture- Banki

Nagarro

  • Data Science
  • Data-Engineer
  • Developer
  • Principal-Data-Architect
  • Principal-Engineer
  • Senior-Data-Architect
  • Senior-Principal-Data-Engineer

Assessed from original listing evidence

The role

Job description

Role Overview

We're Nagarro, a Digital Product Engineering company looking for an Associate Principal Engineer, Data Engineer to join our team. The role involves designing and delivering enterprise data architecture strategies, policies, standards, and target-state architectures. The ideal candidate will have 9+ years of experience in enterprise data architecture and a strong understanding of modern data architecture paradigms.

What You Will Do

Define, implement, and maintain enterprise data architecture principles, standards, policies, and target-state architectures. Design and govern current-state, transition-state, and target-state data architectures and data flows across multiple business domains.

Why It Might Be a Fit

The ideal candidate will have strong analytical and problem-solving abilities, excellent stakeholder management, communication, facilitation, and decision-making skills. Experience working in Financial Services, Banking, or other highly regulated industries is a plus.

Requirements

  • 9+ years' experience
  • Proven experience designing and delivering enterprise data architecture strategies, policies, standards, and target-state architectures
  • 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
  • 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

Originally posted on Himalayas

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