Senior Cloud Data & AI Architect (GenAI, Data Mesh)

Tata Consultancy Services Limited; Dallas (TX); On-site; USD 150,000 - 175,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a Senior Cloud Data & AI Architect in Dallas to lead enterprise data platform modernization from on-prem to cloud. The role focuses on building scalable Snowflake and Databricks solutions across AWS and Azure, and designing AI/GenAI powered data value chains.

The candidate will drive governance, security, and architecture standards while collaborating with senior business and IT stakeholders to deliver high-impact data products and reusable patterns.

Qualifications

• Experience in designing enterprise data platforms (data lake, lakehouse, streaming) and data integration pipelines.
• Proven ability to set data/AI strategy and establish data governance, quality, lineage, and metadata standards.
• Hands-on with Python and OpenAI APIs; strong knowledge of AI/GenAI integration in data value chains.
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
• Ability to drive architectural guardrails and collaborate with multiple data organizations.

Responsibilities

• Lead modernization from on-prem to cloud for banking/insurance clients.
• Architect and implement scalable Snowflake/Databricks solutions on AWS/Azure.
• Design data pipelines (batch/real-time) and analytics platforms.
• Define data governance, quality, metadata and lineage frameworks.
• Act as trusted advisor to senior stakeholders and guide multi-team architecture.

Skills

Python programming

LLMs & GenAI concepts

Data governance

Enterprise architecture

Stakeholder leadership

Tools

Snowflake

Databricks

Azure

AWS

GCP

LangChain

Vector databases

Job description

Tata Consultancy Services Limited is seeking a Senior Cloud Data & AI Architect in Dallas to lead enterprise data platform modernization from on-prem to cloud. The role focuses on building scalable Snowflake and Databricks solutions across AWS and Azure, and designing AI/GenAI powered data value chains.

The candidate will drive governance, security, and architecture standards while collaborating with senior business and IT stakeholders to deliver high-impact data products and reusable patterns.