Senior Data Modeler – Enterprise Data & Lakehouse

Geektrust; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Geektrust is seeking a Senior Data Modeler to design and implement enterprise data models for the Channels domain as part of a large-scale Databricks Lakehouse Programme. You will contribute across conceptual, logical, canonical and physical models, collaborating with business stakeholders, data architects and engineering teams to translate complex landscapes into governed, analytics-ready structures.

The role requires hands-on experience with data modeling across multiple domains, with emphasis

Qualifications

• 9+ years of hands‑on enterprise data modeling experience.
• Industry background in Retail, Distribution, Supply Chain, HCM, Logistics or Wholesale.
• Strong functional understanding of Sales & Distribution, SCM, WMS and Inventory Management.
• Working knowledge of Logistics & Fulfilment, Finance & Accounting, AR, HCM and Customer & Partner Management.
• Practical expertise across conceptual, logical, canonical, dimensional and master data modeling.
• Experience producing source-to-target mapping documentation.
• Exposure to business glossary and metadata management practices.

Skills

Data modeling

Enterprise data modeling

Databricks Lakehouse

Delta Lake

Unity Catalog

SQL

Data governance

Metadata management

Source-to-target mapping

Data warehousing

Dimensional modeling

Tools

Erwin

ER/Studio

SqlDBM

Job description

Location: On-site – KSA / India (Remote)

Experience: 9+ years

Role Overview

Senior Data Modelers to design and implement enterprise data models for the Channels domain as part of a large-scale Databricks Lakehouse Programme.

The role covers conceptual, logical, canonical and physical data modeling across multiple business domains and source systems. The successful candidate will work closely with business stakeholders, data architects and engineering teams to translate complex operational landscapes into consistent, governed and analytics- ready data structures.

Required Skills & Experience:

• 9+ years of hands‑on enterprise data modeling experience.
• Industry background in Retail, Distribution, Supply Chain, HCM, Logistics or Wholesale.
• Strong functional understanding of Sales & Distribution, Supply Chain Management (SCM), Warehouse Management (WMS) and Inventory Management.
• Working knowledge of Logistics & Fulfilment, Finance & Accounting, Accounts Receivable (AR), Human Capital Management (HCM) and Customer & Partner Management.
• Practical expertise across conceptual, logical, canonical, dimensional and master data modeling.
• Experience producing source-to-target mapping documentation.
• Exposure to business glossary and metadata management practices.

Good to Have:

• Hands‑on experience delivering models on the Databricks Lakehouse platform (Delta Lake, Unity Catalog).
• Familiarity with data modeling tools such as Erwin, ER/Studio or SqlDBM.
• Strong SQL and an understanding of modern data warehousing and medallion architecture patterns.
• Experience working within a formal data governance or data quality framework.