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

• Define target-state data architecture (lakehouse, medallion, CDC, streaming).
• Establish enterprise data modeling standards (dimensional, Data Vault).
• Lead platform/tooling decisions (Azure/AWS/GCP; Snowflake/Databricks).
• Set governance standards: cataloging, lineage, quality, access controls.
• Architect ingestion pipelines (batch, real-time, API-based).
• Enable ML/AI readiness using feature store patterns, model-serving integration.
• Implement strong security: PII/PHI controls, encryption, key mgmt, auditing.
• Optimize cost/performance across storage, compute, and formats.
• Review solution designs for scalability, interoperability, and compliance.
• Create roadmaps, standards, and mentor architects/engineers.

Requirements (Updated & Relevant)

• Deep expertise in cloud data ecosystems, ELT/ETL, streaming, and orchestration.
• Strong data modeling, governance, cataloging, and metadata management skills.
• Experience integrating data architectures with AI/ML workloads.
• Understanding of security frameworks, data contracts, and FinOps principles.

Experience

10–15+ years in data architecture with enterprise-scale delivery.

 

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
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. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents

Skill Requirements

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Other Requirements

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