Chennai, Tamil Nadu
Job Summary
Consultant Roles
Consultant Responsibility
Senior Data Specialist (Data Modeler, Meta Data Management)
Design enterprise data models, define metadata standards, and ensure consistency across platforms.
Translate business requirements into scalable data structures, schemas, and integration patterns.
Establish data architecture patterns, including lineage, reference data, and governance alignment.
Key Skills: Data modelling (ER/Dimensional), SQL/NoSQL, metadata tools (Alation/Collibra), data lineage, data architecture frameworks, Data Quality frameworks.
Data Specialist (Data Governance)
Strong expertise on Power Apps to develop approval tool and workflow which supports to enable, store and access data owner approval forms.
Strong experience in managing and coordinating the data onboarding approval lifecycle, including intake validation, stakeholder alignment, documentation readiness, and approval tracking across business, data, and architecture teams.
Ability to work closely with CAT Data Specialists, Data Owners, Data Stewards, Product Owners, Data Architects, and governance stakeholders to ensure datasets meet onboarding requirements related to business context, quality, access, compliance, and intended usage.
Experience in driving structured onboarding workflows, identifying approval dependencies, following up on pending actions, and ensuring timely progression of datasets through governance and intake checkpoints.
Proven capability to maintain clear documentation, approval audit trails, and process transparency to support scalable and compliant enterprise data onboarding.
Key Responsibilities
Consultant Roles
Consultant Responsibility
Senior Data Specialist (Data Modeler,
Meta Data Management)
Design enterprise data models, define metadata standards, and ensure consistency across platforms.
Translate business requirements into scalable data structures, schemas, and integration patterns.
Establish data architecture patterns, including lineage, reference data, and governance alignment.
Key Skills: Data modelling (ER/Dimensional), SQL/NoSQL, metadata tools (Alation/Collibra), data lineage, data architecture frameworks, Data Quality frameworks.
Data Specialist (Data Governance)
Strong expertise on Power Apps to develop approval tool and workflow which supports to enable, store and access data owner approval forms.
Strong experience in managing and coordinating the data onboarding approval lifecycle, including intake validation, stakeholder alignment, documentation readiness, and approval tracking across business, data, and architecture teams.
Ability to work closely with CAT Data Specialists, Data Owners, Data Stewards, Product Owners, Data Architects, and governance stakeholders to ensure datasets meet onboarding requirements related to business context, quality, access, compliance, and intended usage.
Experience in driving structured onboarding workflows, identifying approval dependencies, following up on pending actions, and ensuring timely progression of datasets through governance and intake checkpoints.
Proven capability to maintain explicit documentation, approval audit trails, and process transparency to support scalable and compliant enterprise data onboarding.
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📌 Senior Data Scientist (India)
🏢 HCLTech
📍 India