• Design and Create the framework for managing the organization s enterprise data architecture.
• Focus on identifying and using the right tools and technologies, technical methodologies, technical guardrails and guidelines ,integration with broader technical environment, etc.
• Design and implement a scalable and flexible data architecture for the PLM system, ensuring data consistency, integrity, and quality across the entire product lifecycle.
• Develop and maintain data models, data flows, and data governance policies to ensure data accuracy, completeness, and compliance with industry standards and regulations.
• Collaborate with cross-functional teams, including engineering, manufacturing, and quality, to ensure data requirements are met and data is properly integrated across systems.
• Develop and maintain data interfaces, APIs, and data migration strategies to ensure seamless data exchange between PLM and other systems.
• Ensure data security, access controls, and auditing mechanisms are in place to protect sensitive product data.
• Develop and maintain data analytics and reporting capabilities to support business decision-making and product development.

Your Profile

You are best equipped for this task if you have:

• Bachelor s or Master s degree (Computer Science or Related) with 8+years of relevant experience.
• Proven experience as Data Architecture or in a similar role in an RD environment.
• Experience in implementing data management, data integration and reporting technologies.
• Good Knowledge of data governance, data quality, and data security best practices.
• Knowledge in enterprise systems like PLM, ERP, MD systems.
• Proficiency in data modelling and design.
• Experience working with Data Platforms, Data Catalogues, API Management and Event Driven Architecture.
• Knowledge of programming languages Python or Java , NoSQL databases, data visualization, data virtualization.
• Solid understanding of cloud services, architectures, and storage solutions.
• Excellent problem-solving and communication skills.

Role: Data Science & Machine Learning - Other

Industry Type: Electronic Components / Semiconductors

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate, Medical-MS/MD in Psychology