Role - Data Modeller Required Technical Skill Set Conceptual, Logical & Physical Data Modeling, ERWIN Tool,SQL & Database Design Data Analysis & Data Profiling |Data Dictionary & Metadata Management Data Lineage and Impact Analysis Normalization & Data Modeling Best Practices Desired Experience Range : 5 - 15 years Location of Requirement : Hyderabad -------------------------------------------------------------------------------- Desired Competencies (Technical/Behavioral Competency) 5+ years of experience in

Data Modeling

with expertise in

Conceptual, Logical, and Physical Data Models Hands-on experience with

ERwin, Strong proficiency in

SQL , database design, and

Data Warehousing

concepts. Experience in

Source-to-Target Mapping , data profiling, and data analysis Deep understanding of

Metadata Management, Data Lineage, and Data Governance

practices. -------------------------------------------------------------------------------------- Experience with

OpenMetadata, Collibra, Informatica EDC/Axon , or similar metadata management tools. Exposure to

AWS, Snowflake, Databricks , or modern cloud data platforms. Knowledge of

Data Governance, Data Quality, and Data Observability

frameworks. Experience with

Data Lineage, Impact Analysis, and Business Glossary Management . Understanding of

API/JSON schema modeling

and integration patterns. Familiarity with

Data Lake, Big Data, and Analytics architectures Exposure to





Agile delivery methodologies

and stakeholder management in large-scale data transformation programs. Relevant certifications in

Data Management, Cloud Technologies, or Banking Domain . ----------------------------------------------------------------------------------------- Responsibility of / Expectations from the Role Design and maintain

Conceptual, Logical, and Physical Data Models

aligned to business and enterprise data architecture standards. Collaborate with business stakeholders, data architects, analysts, and engineering teams to translate business requirements into scalable data models. Develop and maintain

source-to-target mappings, data dictionaries, metadata, and business glossaries . Perform

data analysis, profiling, lineage, and impact assessments

to support data integration and transformation initiatives. Ensure adherence to

data governance, data quality, and regulatory compliance

standards across banking data assets. Support enterprise metadata management and data catalog initiatives to improve data discoverability and usability. Review and optimize database schemas for performance, scalability, and maintainability. Drive best practices in data modeling, documentation, and standards across project teams. Work closely with cross-functional teams in an Agile workplace to deliver data solutions that meet business and regulatory requirements.

📌 Data Modeller (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai