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Senior Technical Lead

Date Posted: Oct 01, 2026
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Job Detail

  • location_on
    Location Mumbai, Maharashtra, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
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    Apply Before: Nov 15, 2026
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Job Description

Job Summary

We are looking for an experienced Data Modeler to design and govern enterprise data models for a large-scale GCP-based Unified Data Platform (UDP) in the Insurance domain. The role will drive data architecture, canonical modeling, data products, analytics, and governance initiatives across the enterprise data landscape.

Key Responsibilities

  • Design and maintain conceptual, logical, and physical data models across Customer, Policy, Claims, Lead, Campaign, and Finance domains.
  • Develop dimensional models, data marts, fact and dimension structures, and analytical data products.
  • Define canonical, conformed, and reusable enterprise data models.
  • Create and maintain source-to-target mappings, transformation rules, and data lineage documentation.
  • Collaborate with Business Analysts, Architects, and Data Engineers to translate business requirements into scalable data solutions.
  • Establish and enforce enterprise data modeling standards and governance practices.
  • Support Bronze, Silver, Gold, and Data Product layer design and implementation.
  • Conduct model reviews, impact assessments, and change analysis for source systems and reporting solutions.
  • Drive data quality, metadata management, master data, and lineage initiatives.
  • Support regulatory, operational, and analytical reporting requirements.
  • Mentor team members on data modeling best practices.

Skill Requirements

  • Strong expertise in Conceptual, Logical, and Physical Data Modeling.
  • Hands-on experience with Dimensional Modeling (Kimball Methodology).
  • Proficiency in ER Studio, Erwin, Lucidchart, or similar modeling tools.
  • Strong understanding of Data Warehousing, Lakehouse, and Enterprise Analytics architectures.
  • Experience with BigQuery, GCP Data Platforms, or cloud-based analytics solutions.
  • Strong SQL and database design skills.
  • Knowledge of Data Governance, Metadata Management, Data Lineage, and Data Quality frameworks.
  • Experience designing canonical and conformed data models.
  • Excellent stakeholder management, communication, and problem-solving skills.
  • Very good at prompt engineering using AI tools. Should be able to demonstrate how business requirements can be converted to technical artifacts

Preferred Skills

  • Experience in Insurance, Healthcare, or Financial Services domains.
  • Knowledge of ACORD and/or FHIR data standards.
  • Understanding of Customer 360, Policy, Claims, Lead, and Campaign data domains.
  • Familiarity with Data Products, Data Mesh, and Modern Lakehouse architectures.
  • Experience supporting enterprise-scale cloud transformation programs.

Key Competencies

  • Enterprise Data Architecture
  • Data Modeling & Governance
  • Analytical and Problem-Solving Skills
  • Stakeholder Management
  • Leadership and Mentoring
  • Cross-functional Collaboration
  • Business-to-Data Translation

Other Requirements

Source: HCLTech careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

HCLTech
HCLTech · Noida, Uttar Pradesh, India
388 open roles

HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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