Data Modeler Lead/Architect

8 - 13 years

30 - 45 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role -

Experience

Location

Primary Objective -

Key Responsibilities

  • Data Modeling Strategy -

    Develop and maintain enterprise-level data modeling standards based on Data Vault 2.0 principles. Harmonize methodologies (Data Vault, Kimball, Inmon) to create a unified modeling approach.
  • Reusable Model Design -

    Create “off-the-shelf” data model templates that can be customized for different OEs. Ensure scalability and flexibility for diverse business domains.
  • Data Product Development -

    Design curated datasets (data products) for specific analytical and operational use cases. Collaborate with business stakeholders to define requirements and ensure alignment with data governance.
  • Architecture & Integration -

    Work closely with data engineers and solution architects to implement models in cloud/on-prem platforms. Ensure integration with existing data pipelines, ETL/ELT processes, and BI tools.
  • Governance & Standards -

    Establish metadata management, lineage tracking, and documentation standards. Promote data quality, consistency, and compliance across all OEs

    .

Required Skills

  • Expertise in Data Vault 2.0 methodology and tools.
  • Strong knowledge of dimensional modeling (

    Kimball

    ) and normalized approaches (

    Inmon

    ).
  • Experience with data warehousing, data Lakehouse architectures, and cloud platforms (AWS, Azure, GCP).
  • Proficiency in SQL, ETL/ELT tools, and metadata management.
  • Familiarity with data governance frameworks and data product concepts.

Ideal Client Profile for this role:

  • 8-12 years in data architecture and modeling roles using market leading data modeling tools like Erwin or others.
  • Proven track record in designing enterprise data models and implementing Data Vault solutions.
  • Strong communication skills to bridge technical and business teams.

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