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Prudent Technologies and Consulting, Inc.
Data ModelerPrudent Technologies and Consulting, Inc. • hyderabad, telangana, India
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Data Modeler

Data Modeler

Prudent Technologies and Consulting, Inc. • hyderabad, telangana, India
7 days ago
Job description

Key Responsibilities

Data Modeling & Design

  • Design, build, and maintain conceptual, logical, and physical data models for data warehouses, data lakes, and operational data stores.
  • Apply dimensional modeling techniques (Kimball star/snowflake schemas, slowly changing dimensions, conformed dimensions) and Inmon-style normalized enterprise models as appropriate.
  • Define naming conventions, modeling standards, and reusable design patterns; review peers’ models and provide constructive feedback.
  • Partner with data engineers to translate models into performant physical implementations and ELT/ETL pipelines.

Requirements Gathering & Stakeholder Engagement

  • Lead workshops with business stakeholders, product owners, and SMEs to elicit data requirements and translate them into clear modeling artifacts.
  • Document business definitions, source-to-target mappings, lineage, and data quality rules.
  • Act as a trusted advisor to analytics and engineering teams on the right modeling approach for a given use case.

Data Governance & Metadata

  • Curate and maintain metadata, business glossary terms, and data classifications in the enterprise governance platform (e.g., Collibra).
  • Support regulatory and compliance initiatives by ensuring sensitive data is properly classified, documented, and modeled.

Required Qualifications

  • 8–12 years of professional experience in data modelling or a closely related data discipline.
  • Proficiency with at least one industry-standard data modeling tool (e.g., erwin Data Modeler, ER/Studio, SAP PowerDesigner, SqlDBM).
  • Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical audiences.

Preferred Qualifications

  • CDVP2 (Certified Data Vault 2.0 Practitioner) or equivalent Data Vault certification.
  • CDMP (Certified Data Management Professional) or DAMA-DMBOK familiarity.
  • Experience modeling for cloud data platforms (Snowflake, Databricks, BigQuery) and lakehouse architectures.
  • Experience with dbt, Airflow, or similar transformation/orchestration tooling.
  • Exposure to industry data models (e.g., FSLDM) relevant to the organization’s domain.
  • Familiarity with master data management (MDM), reference data, and data product / data mesh concepts.
  • Experience supporting regulatory frameworks such as CCPA, HIPAA, or SOX.
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