Senior Data Scientist
India
Apply now
Job Description
Senior Data Scientist
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 clear documentation, approval audit trails, and process transparency to support scalable and compliant enterprise data onboarding.

 

Skill Requirements

null

Other Requirements

null
Apply now
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.