
Senior Group Technical Architect
About the role
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 Fin Ops principles.
Experience
10–15+ years in data architecture with enterprise-scale delivery.
Key Responsibilities
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To architect| design and develop (through Team) solution for product/project & sustenance delivery
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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.
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To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
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To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
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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
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To submit Whitepapers, participate in industry forums and file Patents
Skill Requirements
null
Other Requirements
null
Required skills
Data architecture
Data modeling
Governance
Streaming
ETL/ELT
Security
About HCL Technologies
Chennai
Headquarters