Data Modeller (8–15 Years)Location: PAN India | Minimum Experience: 8–9 Years

Role Overview

We are looking for an experienced Data Modeller with a minimum of 8–9 years of experience to support a project focused on integrating data from multiple operational systems and standardizing it to derive meaningful business metrics. These insights will help optimize laboratory operations and building management operations.

- Data Modelling Expertise
- Strong understanding and hands-on experience with data modelling techniques, including Star Schema, Snowflake Schema, Fact and Dimensions, and Aggregate Structures.
- Design and maintain conceptual, logical, and physical data models.
- Translate business, analytical, and reporting requirements into scalable and reusable data structures.
- Create and maintain Entity Relationship Diagrams (ERDs), data dictionaries, primary keys, foreign keys, and constraints.

2. Source Data Analysis & Data Quality
- Strong understanding of source data models and data from multiple operational systems.
- Identify data quality issues, duplicates, and inconsistencies within source data.
- Understand overlapping and common data elements across different operational systems.
- Define data validation rules and ensure data accuracy and consistency.

3. Data Integration & Documentation
- Work with Technical Business Analysts and Data Analysts to define transformation logic.
- Prepare and maintain Source-to-Target Data Mapping documents.
- Define business rules and data transformation requirements.
- Ensure standardized data structures across multiple operational systems.

4. Snowflake & Technical Implementation
- Collaborate with Data Engineers to implement data models in Snowflake.
- Ensure alignment between conceptual and logical designs and physical implementation.




- Support the development and maintenance of Data Hub models.
- Ensure data models are scalable, reusable, and aligned with project requirements.

5. Data Governance & Compliance
- Ensure data models comply with applicable security, privacy, and governance requirements for healthcare data.
- Onboard project data assets into the Collibra Enterprise Data Catalogue.
- Support metadata management and data governance activities.
- Follow enterprise data architecture standards and guidelines.

6. Stakeholder Management & Collaboration
- Work closely with Business Stakeholders, Solution Architects, Product Owners, and Engineering Leads.
- Coordinate with Business BAs, Technical BAs, and Data Analysts to understand requirements and project priorities.
- Take ownership of data models and drive timely reviews with Enterprise Information Architects.
- Ensure alignment with enterprise standards and project goals.

7. Good to Have – Domain Knowledge
- Experience with Building Management Systems (BMS).
- Knowledge of platforms such as Honeywell Forge and Siemens Building X.
- Understanding of Safety, Health and Workplace (SHE) data.
- Exposure to laboratory operations and building operations data domains.

8. Communication Skills
- Strong verbal and written communication skills.
- Ability to coordinate effectively with multiple business and technical stakeholders.
- Ability to understand complex business requirements and translate them into technical data models.

Key Technical Skills / Keywords for Candidate Screening:

Data Modelling, Star Schema, Snowflake Schema, Fact & Dimensions, Aggregate Structures, Conceptual Modelling, Logical Modelling, Physical Modelling, ERD, Data Dictionary, Snowflake, Collibra, Data Governance, Data Quality, Source-to-Target Mapping, Data Integration, BMS, Honeywell Forge, Siemens Building X, SHE Data.

📌 Lead Data Modeller (India)
🏢 Rabi Solutions
📍 India