Job Description
Full details about the role and requirements
Yukerja Summary
The Associate Principal Engineer, Data Engineer (Enterprise Data Architecture- Banki role at Nagarro is curated from Himalayas (category Keuangan & Perbankan). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
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