Role: Data Modeler
Location: Hyderabad / Bangalore
Full/ Part time: Full time

Build a career with confidence
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
Role Purpose:
- Design business‑aligned data models enabling data products
- Translate business processes into reusable, governed data structures
- Ensure data is consistent, discoverable, and AI/analytics‑ready

Role Responsibilities:
- Create and maintain conceptual, logical, and physical data models
- Develop ER diagrams defining entities, relationships, keys, and constraints
- Translate business requirements into scalable data models
- Enable Data‑as‑a‑Product through canonical and conformed models
- Define and manage business and technical metadata




- Maintain data definitions, glossaries, and lineage artifacts
- Ensure alignment between data models and physical implementations
- Collaborate with data engineers, architects, analytics, and governance teams
- Enforce modeling standards and naming conventions

Minimum Requirements:
- 6+ years of experience in data modeling or data architecture
- Strong business process knowledge (Sales, Supply Chain, Finance etc.)
- Expertise in ER modeling and relational/analytical design
- Experience with data product and domain‑driven modeling concepts
- Hands‑on experience with metadata management and data catalogs
- Strong stakeholder communication and documentation skills

Benefits
We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.
- Enjoy your best years with our retirement savings plan
- Have peace of mind and body with our health insurance
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📌 Data Modeler (Hyderabad)
🏢 Carrier
📍 Hyderabad