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1. Role - Data Modeller
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2. 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
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3. Desired Experience Range : 5 - 15 years
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4. Location of Requirement : Hyderabad, Pune , Bangalore, Chennai
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nDesired Competencies (Technical/Behavioral Competency)

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1. 5+ years of experience in Data Modeling with expertise in Conceptual, Logical, and Physical Data Models
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2. Hands-on experience with ERwin,
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3. Solid proficiency in SQL, database design, and Data Warehousing concepts.
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4. Experience in Source-to-Target Mapping, data profiling, and data analysis
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5. Deep understanding of Metadata Management, Data Lineage, and Data Governance practices.
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- Experience with OpenMetadata, Collibra, Informatica EDC/Axon, or similar metadata management tools.
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- Exposure to AWS, Snowflake, Databricks, or modern cloud data platforms.
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- Knowledge of Data Governance, Data Quality, and Data Observability frameworks.
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- Experience with Data Lineage, Impact Analysis, and Business Glossary Management.
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- Understanding of API/JSON schema modeling and integration patterns.
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- Familiarity with Data Lake, Big Data, and Analytics architectures
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- Exposure to Agile delivery methodologies and stakeholder management in large-scale data transformation programs.
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- Relevant certifications in Data Management, Cloud Technologies, or Banking Domain.
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nResponsibility of / Expectations from the Role

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1. Design and maintain Conceptual, Logical, and Physical Data Models aligned to business and enterprise data architecture standards.
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2. Collaborate with business stakeholders, data architects, analysts, and engineering teams to translate business requirements into scalable data models.
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3. 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.
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4. 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.
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5. Review and optimize database schemas for performance, scalability, and maintainability.

Drive best practices in data modeling, documentation, and standards across project teams.

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6. Work closely with cross-functional teams in an Agile environment to deliver data solutions that meet business and regulatory requirements.
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📌 Data Modeller (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru