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 IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.
Tata Electronics is a subsidiary of the Tata group. The Tata Group 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
We are seeking a Data Lead to define, build, and scale enterprise-wide data platforms and AI-driven solutions.
Own and define end-to-end (E2E) data architecture across ingestion, processing, storage, analytics, and AI solutions.
Lead the design and implementation of large-scale data platforms using Databricks, Snowflake, or hyperscalers equivalent.
Enable AI use cases such as yield optimization, predictive maintenance, quality analytics, and supply chain forecasting.
Has worked on enabling leading LLMs
Architect and deliver data solutions on cloud
Partner with business and engineering teams across manufacturing, Finance, HR, supply chain, and IT.
Mentor and lead data engineering and platform teams.
Qualification
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Strong experience in Semiconductor and/or EMS environments.
Proven delivery of large enterprise data platforms.
Deep hands-on experience with Databricks and/or Snowflake and/or hyperscalers.
Strong understanding of AI/ML models and analytics platforms.
Experience working with cloud platforms
Excellent stakeholder management and leadership skills.
Experience
7+ years of experience with large enterprise data platforms.
Competencies
Teamwork
Agility
Customer Empathy
Purposeful Pursuit of Goals
Pioneering
Deep Domain Knowledge
Future Ready
About Business
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 IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.
Tata Electronics is a subsidiary of the Tata group. The Tata Group 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
We are seeking a Data Lead to define, build, and scale enterprise-wide data platforms and AI-driven solutions.
Own and define end-to-end (E2E) data architecture across ingestion, processing, storage, analytics, and AI solutions.
Lead the design and implementation of large-scale data platforms using Databricks, Snowflake, or hyperscalers equivalent.
Enable AI use cases such as yield optimization, predictive maintenance, quality analytics, and supply chain forecasting.
Has worked on enabling leading LLMs
Architect and deliver data solutions on cloud
Partner with business and engineering teams across manufacturing, Finance, HR, supply chain, and IT.
Mentor and lead data engineering and platform teams.
Qualification
Strong experience in Semiconductor and/or EMS environments.
Proven delivery of large enterprise data platforms.
Deep hands-on experience with Databricks and/or Snowflake and/or hyperscalers.
Strong understanding of AI/ML models and analytics platforms.
Experience working with cloud platforms
Excellent stakeholder management and leadership skills.
Experience
7+ years of experience with large enterprise data platforms.
