Principal Consultant – AWS Data Platforms & Agentic AI

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

About the Role

We are looking for a Principal Consultant – AWS Data Platforms & Agentic AI to provide technical leadership in architecting, building and scaling next-generation enterprise Data and Agentic AI platforms.

This is a senior, hands-on technology leadership role requiring a rare combination of AWS Data architecture, Agentic AI expertise, engineering depth and executive presence.

You should be equally comfortable presenting a technology vision to CTOs and Managing Directors, defining Reference Architectures/HLDs/LLDs, leading technical workshops, and working directly with engineers to solve complex design, implementation, and performance issues.

This is not a strategy-only architecture role. Strong hands-on engineering capability is essential.

What You'll Do

• Lead architecture and engineering across Enterprise Data Platforms, Data Fabric, Data Products, Data Marketplace, BI and Agentic AI.
• Define scalable Lakehouse and Medallion Architecture patterns for data ingestion, processing, storage, governance and consumption.