Associate Principal Engineer, Data Engineer (Enterprise Data Architect-Banking Domain)

REQUIREMENTS:

• 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.
• Strong communication, stakeholder management, and leadership capabilities.
• 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.

RESPONSIBILITIES:

• 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.

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