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 explicit 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 skilled 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 Power Designer, Sql DBM).
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 Qualified) or DAMA-DMBOK familiarity.
Experience modeling for cloud data platforms (Snowflake, Databricks, Big Query) and lakehouse architectures.
Expe

📌 Data Modeler Hyderabad
🏢 Prudent Technologies and Consulting
📍 Hyderabad