Jobgether

Associate Principal Engineer, Data Engineer (Enterprise Data Architecture- Banking domain)

Jobgether  •  Republic of India (Hybrid)  •  21 hours ago
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Job Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Principal Engineer, Data Engineer (Enterprise Data Architecture – Banking domain) based in India.

This role sits at the intersection of enterprise architecture, data engineering, and strategic governance within a complex financial services environment. You will define and evolve enterprise-wide data architecture frameworks that enable scalable, secure, and high-quality data ecosystems across multiple business domains. The position involves shaping target-state architectures, guiding transition roadmaps, and ensuring alignment with regulatory and business objectives. You will play a key leadership role in establishing data governance structures, architecture review forums, and enterprise standards. Working in a highly collaborative and global environment, you will influence senior stakeholders and drive data-driven transformation initiatives. The role requires deep expertise in modern data platforms, cloud ecosystems, and enterprise data modeling. It is ideal for a seasoned architect who can bridge strategy and execution in large-scale banking environments.

Accountabilities:

  • Define and maintain enterprise data architecture principles, standards, policies, and target-state architectures aligned with business and technology strategies
  • Design and govern current, transition, and target-state data architectures across multiple business domains
  • Establish and lead enterprise data governance functions, architecture review boards, and governance forums, including Terms of Reference (ToRs)
  • Review, assess, and approve data architecture artefacts to ensure compliance with enterprise standards and policies
  • Develop and maintain enterprise data models aligned with industry frameworks such as FSLDM, BIRD, or equivalent standards
  • Design scalable enterprise data flows, integration architectures, and transformation roadmaps
  • Provide architectural leadership for strategic data initiatives, platforms, and data product development
  • Collaborate with enterprise architects, solution architects, engineering teams, and business stakeholders to define scalable solutions
  • Evaluate and recommend data architecture tools, methodologies, and platforms to support enterprise transformation
  • Promote modern data architecture paradigms including Data Lake, Data Mesh, Data Fabric, hybrid architectures, and AI-enabled ecosystems
  • Drive continuous improvement of data governance, architecture practices, and operating models
  • Stay current with emerging technologies, industry trends, and regulatory requirements impacting data architecture

    • Requirements

    • 9+ years of overall experience in data engineering, data architecture, or enterprise architecture roles
    • Proven experience designing enterprise data architecture strategies, standards, policies, and target-state architectures
    • Strong background in establishing enterprise data governance frameworks and architecture review processes
    • Experience designing enterprise-wide data flows, integration architectures, and transformation roadmaps
    • Hands-on expertise in enterprise data modelling using industry-standard methodologies and tools
    • Strong understanding of data architecture paradigms including Data Lake, Data Mesh, Data Fabric, and hybrid architectures
    • Experience with cloud data platforms such as Databricks, Snowflake, or equivalent solutions
    • Familiarity with enterprise data governance and metadata management tools such as Collibra
    • Exposure to enterprise architecture tools such as LeanIX, Ardoq, or similar platforms
    • Experience working in banking, financial services, or other highly regulated environments
    • Strong stakeholder management, communication, and influencing skills at senior levels
    • Excellent analytical thinking and problem-solving capabilities in complex enterprise settings
    • Ability to evaluate and drive adoption of data architecture technologies and frameworks

      • Benefits

      • Competitive compensation aligned with experience and expertise
      • Flexible working arrangements with remote or hybrid options
      • Opportunity to work on large-scale enterprise banking transformation programs
      • Exposure to modern data platforms and advanced cloud technologies
      • Strong learning and upskilling opportunities in architecture and leadership domains
      • Collaborative, global work environment with cross-functional engagement
      • Career growth in senior architecture and enterprise leadership tracks.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Jobgether

About Jobgether

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals.

We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias.

Our purpose is to make remote job search guided and intentional.

Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.

Industry
Retail & Ecommerce
Company Size
201-500 employees
Headquarters
Brussels, BE
Year Founded
2020
Website
jobgether.com
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