Senior Data Modeler - Snowflake, DBT Blr/Pune/Hyd/BBSR/Chn/Kochi

Tata Consultancy Services
Posted on
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Experience
7 - 10 yrs
Job Location
Hyderabad, India
Vacancy
5
Designation
Senior Data Modeler
Job Type
ONSITE

Job Description

Key Responsibilities

  • Design and maintain enterprise-wide conceptual, logical, and physical data models
  • Work closely with business stakeholders to gather and refine data requirements
  • Translate business requirements into scalable and reusable data models
  • Collaborate with Data Engineers, Data Architects, and Analytics teams to implement data solutions
  • Develop and maintain data models in cloud-based data platforms
  • Ensure data consistency, quality, governance, and compliance standards
  • Support implementation of data models within change management and governance frameworks
  • Promote data modeling best practices and drive data culture across teams
  • Identify opportunities to simplify and improve business processes through better data design
  • Document data assets, relationships, lineage, and governance processes

MustHave Skills

Data Modeling

  • Strong experience in:
    • Conceptual, logical, and physical data modeling
    • Enterprise data architecture
    • Data governance practices
  • Experience working with complex enterprise data environments

Cloud Data Platforms

  • Hands-on experience with:
    • Snowflake
    • DBT
    • AWS Glue
    • Apache Airflow

SQL & Data Analysis

  • Strong expertise in:
    • SQL
    • Data analysis and data profiling
  • Experience designing solutions for analytical and operational data workloads

Business Analysis & Stakeholder Management

  • Experience with:
    • Requirement gathering
    • Business process analysis
    • Stakeholder engagement
  • Ability to communicate effectively with both technical and business teams

Software Development & Delivery

  • Experience working in modern software delivery environments
  • Understanding of data engineering and implementation practices

GoodtoHave Skills

  • Knowledge of:
    • Data Vault Modeling
    • DAMA Framework
    • Domain-Driven Design (DDD)
  • Exposure to:
    • AWS Services
    • Enterprise data governance initiatives
    • Metadata management and data lineage

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