Nagarro

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

Show

REQUIREMENTS:

  • Toal Experience 9+ years’ experience
  • Proven experience designing and delivering enterprise data architecture strategies, policies, standards, and target-state architectures.
  • Demonstrated experience establishing enterprise data governance functions, developing governance frameworks, drafting Terms of Reference (ToRs), and leading architecture review forums.
  • Strong experience designing enterprise-wide data flows, integration architectures, and transition-state roadmaps across multiple business domains.
  • Experience reviewing and approving data architecture artefacts in accordance with enterprise policies, governance standards, and architectural principles.
  • 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.
  • Excellent stakeholder management, communication, facilitation, and decision-making skills.
  • Strong analytical and problem-solving abilities, with experience influencing architecture decisions in complex enterprise environments.
  • 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.

RESPONSIBILITIES:

  • Define, implement, and maintain enterprise data architecture principles, standards, policies, and target-state architectures aligned with business and technology strategies.
  • Design and govern current-state, transition-state, and target-state data architectures and data flows across multiple business domains.
  • Develop and maintain enterprise data models, ensuring alignment with industry standards and organizational data architecture principles.
  • Review and approve data architecture artefacts, ensuring compliance with enterprise governance, policies, standards, and best practices.
  • Establish and support enterprise data governance functions, architecture review boards, and governance forums, including developing Terms of Reference (ToRs).
  • Provide architectural leadership and guidance for strategic data initiatives, enterprise data platforms, and data product development.
  • Collaborate with business stakeholders, enterprise architects, solution architects, and engineering teams to define scalable and future-ready data solutions.
  • Evaluate and recommend enterprise data architecture methodologies, technologies, and tools to support business transformation.
  • Promote adoption of modern data architecture approaches, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI-enabled data ecosystems.
  • Drive continuous improvement by identifying opportunities to enhance enterprise data architecture capabilities, governance, and operating models.
  • Stay informed of emerging technologies, industry trends, and regulatory developments to ensure the organization's data architecture remains current and effective.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.