Data Architect

Data Architect Pan India · Full Time · Hybrid

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About the Role The Data Architect is responsible for designing federated computational governance, setting rules, standards, and interoperability Full Times for data products to compose into a coherent mesh. This role focuses on framework setting rather than central modeling. The goal is to enable independently-owned data products to work together seamlessly.

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Key Responsibilities

• Design and implement dimensional, Data Vault 2.0, anchor modeling, and semantic/ontology modeling.
• Develop mesh architecture through bounded-context decomposition, domain identification, and distinguishing between Foundational and Derivative products.
• Implement interoperability standards, including global identifier strategy, universal time/geo dimensions, and shared semantic layer.
• Establish governance frameworks using DCAM, DAMA-DMBOK, DataOps maturity, data product taxonomy, and stewardship operating model.
• Ensure privacy and regulatory compliance with GDPR, CCPA, HIPAA, SOX, and PCI.
• Develop reference architecture for lakehouse, medallion vs. data product topology, event-driven architecture, and CDC patterns.
• Design AI architecture with governed RAG, agentic data access patterns, knowledge graphs, and AI-ready semantic layers.
• Define "what makes a data product fit-for-purpose" and author federated policy-as-code for the platform.
• Ratify decision rights split between central and domain teams.

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Requirements

• Modeling skills in dimensional, Data Vault 2.0, anchor modeling, and semantic/ontology modeling.
• Experience with mesh architecture, bounded-context decomposition, and domain identification.
• Knowledge of interoperability standards, including global identifier strategy and shared semantic layer.
• Familiarity with governance frameworks such as DCAM, DAMA-DMBOK, and DataOps maturity.
• Understanding of privacy and regulatory requirements, including GDPR, CCPA, HIPAA, SOX, and PCI.
• Experience with reference architecture, including lakehouse, medallion vs. data product topology, and event-driven architecture.
• Knowledge of AI architecture, including governed RAG, agentic data access patterns, and knowledge graphs.

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What We Offer

• Opportunity to work on a hybrid model, combining on-site and remote work.
• Chance to work with a variety of technologies and frameworks, including Cube, dbt Semantic Layer, and AtScale.