Job Summary
Enterprise Data Architect
Role Summary
Own the enterprise-wide data architecture across lakehouse/warehouse platforms, ensuring scalable data integration, governance, security, and ML/AI readiness.
Responsibilities
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Define target-state data architecture (lakehouse, medallion, CDC, streaming).
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Establish enterprise data modeling standards (dimensional, Data Vault).
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Lead platform/tooling decisions (Azure/AWS/GCP; Snowflake/Databricks).
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Set governance standards: cataloging, lineage, quality, access controls.
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Architect ingestion pipelines (batch, real-time, API-based).
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Enable ML/AI readiness using feature store patterns, model-serving integration.
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Implement strong security: PII/PHI controls, encryption, key mgmt, auditing.
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Optimize cost/performance across storage, compute, and formats.
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Review solution designs for scalability, interoperability, and compliance.
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Create roadmaps, standards, and mentor architects/engineers.
Requirements (Updated & Relevant)
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Deep expertise in cloud data ecosystems, ELT/ETL, streaming, and orchestration.
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Strong data modeling, governance, cataloging, and metadata management skills.
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Experience integrating data architectures with AI/ML workloads.
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Understanding of security frameworks, data contracts, and FinOps principles.
Experience
10–15+ years in data architecture with enterprise-scale delivery.
Key Responsibilities
2. To support as an Subject Matter Expert
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. Ensuring a sufficient pool of skilled professionals in the designated technology, through activities such as conducting interviews, providing training sessions and offering mentorship.
5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.
6. To support competency development with envisioning and articulating propositions â building collaterals/ whitepaper creation, market trend analysis etc.
7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)