Develop conceptual, logical, and physical data models to support data analytics, streaming and data products implementation. Define and maintain data architecture standards, principles, and best practices. Ensure data models are aligned with business requirements and scalable for future needs. Work closely with business stakeholders, data engineers, data solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend data modelling tools and technologies. Stay updated on industry trends and emerging technologies in data architecture. Identify and resolve data inconsistencies, redundancies, and performance issues. Provide technical leadership in addressing complex data-related challenges. 10+ years of experience in data architecture and modelling. Proven experience in data modelling, data architecture, and data products design. Proven experience and expertise in data modelling standards,



techniques (e.g. dimensional model, 3NF, Vault 2.0) Familiarity with both analytical and real-time/ streaming data solutions (Kafka/Airflow). Hands-on experience with data modelling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner). Expertise in Python and SQL (e.g., Snowflake, Kafka). Experience in AWS cloud services, particularly Lambda, SNS, S3, and EKS, API Gateway Knowledge of data warehouse design, ETL/ ELT processes, and big data technologies (e.g., Snowflake, Spark). Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA). Solid communication and stakeholder management skills. Analytical mindset with attention to detail. Ability to lead and mentor teams on best practices in data modelling. Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Certifications in data modelling, cloud platforms, or database technologies. - Experience in developing and implementing enterprise data models. - Experience with CI/CD GITHUB Actions (or similar) - AWS fundamentals (e.g., AWS Certified Data Engineer) - Familiarity with Atlan for data catalog and metadata management - Understanding of iceberg tables

📌 Data Modelling Architect (Coe) (Bengaluru)
🏢 NTT Data
📍 Bengaluru