Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components. Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management ICs, display drivers, microcontrollers (MCUs), and high-performance computing logic, addressing the growing demand in markets including automotive, computing and data storage, wireless communications, and artificial intelligence.
Tata Electronics is part of the Tata Group, which operates in more than 100 countries across six continents, with the mission: ‘To improve the quality of life of the communities we serve globally, through long-term stakeholder value creation based on leadership with Trust.’
Key Responsibility
Role Summary
We are seeking a Core Platform Lead to architect, build, and scale a foundational data and AI platform supporting advanced manufacturing operations. This role is critical in enabling AI-ready data foundations spanning structured and unstructured data, semantic models, and ontologies.
Key Responsibilities
Own and define the core data platform architecture for manufacturing, quality, yield, and supply chain use cases.
Design scalable data models, storage layers, and databases for enterprise-scale analytics and AI.
Enable data exposure for AI model training, tuning, and inferencing.
Architect solutions to handle structured, semi-structured, and unstructured data including logs, images, and documents.
Design and manage manufacturing and semiconductor ontologies using semantic and ontology tools.
Build and operate data platforms using Databricks, Snowflake, and hyperscaler cloud platforms
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
Collaborate with AI, data science, manufacturing, and IT teams to translate business needs into platform capabilities.
Qualification
Strong experience in Manufacturing, Semiconductor, and/or Electronics Manufacturing Services domains.
Proven experience in data model design, data storage, and database architecture.
Hands-on experience enabling AI/ML platforms and exposing data for training and tuning.
Experience handling structured and unstructured data at scale.
Strong experience with ontology tools and semantic data modeling.
Hands-on experience with Databricks and/or Snowflake and/or hyperscalers.
Experience
7+ years of experience.
Competencies
Teamwork
Agility
Customer Empathy
Purposeful Pursuit of Goals
Pioneering
Deep Domain Knowledge
Future Ready
About the Company
Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components. Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management ICs, display drivers, microcontrollers (MCUs), and high-performance computing logic, addressing the growing demand in markets including automotive, computing and data storage, wireless communications, and artificial intelligence.
Tata Electronics is part of the Tata Group, which operates in more than 100 countries across six continents, with the mission: ‘To improve the quality of life of the communities we serve globally, through long-term stakeholder value creation based on leadership with Trust.’
Key Responsibility
Role Summary
We are seeking a Core Platform Lead to architect, build, and scale a foundational data and AI platform supporting advanced manufacturing operations. This role is critical in enabling AI-ready data foundations spanning structured and unstructured data, semantic models, and ontologies.
Key Responsibilities
Own and define the core data platform architecture for manufacturing, quality, yield, and supply chain use cases.
Design scalable data models, storage layers, and databases for enterprise-scale analytics and AI.
Enable data exposure for AI model training, tuning, and inferencing.
Architect solutions to handle structured, semi-structured, and unstructured data including logs, images, and documents.
Design and manage manufacturing and semiconductor ontologies using semantic and ontology tools.
Build and operate data platforms using Databricks, Snowflake, and hyperscaler cloud platforms
Collaborate with AI, data science, manufacturing, and IT teams to translate business needs into platform capabilities.
Qualification
Strong experience in Manufacturing, Semiconductor, and/or Electronics Manufacturing Services domains.
Proven experience in data model design, data storage, and database architecture.
Hands-on experience enabling AI/ML platforms and exposing data for training and tuning.
Experience handling structured and unstructured data at scale.
Strong experience with ontology tools and semantic data modeling.
Hands-on experience with Databricks and/or Snowflake and/or hyperscalers.
