Data Modeler

Tredence Inc.; Bengaluru; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

A global data science solutions provider is seeking a Solution Architect with a focus on Data Modelling. The ideal candidate will have at least 5 years of experience handling enterprise datasets and will design data models as part of a cross-functional team. This full-time role is essential in our tech consulting sector based in Bengaluru, India, and offers opportunities to work on significant data projects.

Qualifications

• Minimum 5 years of experience in data projects with enterprise datasets.
• Familiarity with data lake foundations and migration.
• Understanding of data layering concepts (Landing, Bronze, Silver, Gold).

Responsibilities

• Design logical and physical data models following Medallion architecture.
• Collaborate with product teams to document requirements.
• Build reusable data models and create physical views from data marts.

Skills

Data Modelling

Data Governance

Cloud Architecture

DevOps

Data Quality Frameworks

Tools

SAP

Oracle

Job description

Tredence is a global data science solutions provider founded in 2013, headquartered in San Jose, California. The company focuses on solving the last-mile problem in AI, with a workforce of over 3,500 data scientists across offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore. Tredence serves clients in retail, CPG, hi-tech, telecom, healthcare, travel, and industrial sectors.

We aim to bridge the gap between insight delivery and value realization, partnering with clients to overcome the last mile in analytics. As we celebrate 12 years, we are entering a phase of expansion, backed by recent USD 175 million Series B funding, and have received accolades such as the 2025 Google Cloud Industry Solutions Partner of the Year for CPG.

Roles and responsibilities:

• Solution Architect for Data Modelling: Minimum 5 years of experience in data projects involving enterprise datasets like Sales, Procurement, Finance, Supply Chain, Logistics, R&D, and Advanced Planning systems (SAP/Oracle). Responsibilities include data upgradation, migration, building data lake foundations, and maintenance.
• Collaborate with product/business teams to understand processes, document requirements, and develop high-level specifications for Data Engineers.
• Design logical and physical data models following Medallion architecture, EDW, or Kimball models. Identify appropriate data grains and build reusable data models before creating physical views from data marts.
• Understand cloud architecture, solution components, DevOps, DataOps, Data Governance, Data Quality frameworks, and Data Observability. Familiarity with DevOps processes, table normalization, and data layering concepts (Landing, Bronze, Silver, Gold) is required.

Additional details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Consulting and Information Technology
• Industries: Business Consulting and Services

Note: This job posting is active and accepting applications.