Databricks AI & Governance

NTT DATA, Inc.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

NTT DATA in Bengaluru seeks an experienced Databricks AI & Governance specialist to design, develop, and deploy agentic AI solutions for data governance across enterprise platforms.

You will work with data governance engineers and business stakeholders to define capabilities, integrate with catalogs and compliance tools like Collibra, Purview, and Databricks Unity Catalog, and implement secure, observable governance workflows.

Qualifications

• Minimum 8+ years of experience in Data Management, Data Engineering, Data Governance, Metadata Management, or Enterprise Data Architecture.
• Minimum 5+ years of experience designing and implementing enterprise data governance, master data management (MDM), metadata management, data quality, or regulatory compliance solutions.
• Minimum 3+ years of experience developing AI/ML, Generative AI, or Agentic AI solutions using LLMs and orchestration frameworks.
• Minimum 3+ years of hands-on experience with Python and modern AI development frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI, Azure AI Foundry, Amazon Bedrock, or equivalent platforms.
• Minimum 3+ years of experience working with cloud platforms including Azure, AWS, or Google Cloud Platform.
• Minimum 2+ years of experience integrating governance platforms such as Collibra, Databricks Unity Catalog, or related data management technologies.
• Minimum 2+ years of experience designing APIs, workflow orchestration, event-driven architectures, or enterprise system integrations.
• Experience defining governance policies, lineage workflows, data quality controls, stewardship processes, and compliance monitoring capabilities.
• Experience working in Agile delivery environments with backlog-driven development, iterative releases, and stakeholder feedback cycles.
• Strong client-facing communication skills with the ability to lead workshops, requirements gathering sessions, architecture reviews, and executive demonstrations.

Responsibilities

• Design, develop, and deploy Agentic AI solutions that automate data governance, data quality, metadata management, lineage analysis, policy enforcement, and stewardship workflows across enterprise data platforms.
• Build scalable AI agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), orchestration frameworks, and enterprise governance tools to support data management and regulatory compliance initiatives.
• Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to rapidly discover governance use cases, define agent capabilities, and align solution architecture with enterprise data strategy.
• Develop and maintain autonomous and human-in-the-loop agents that assist with data cataloging, business glossary management, policy compliance validation, data ownership assignment, issue remediation, and governance workflow orchestration.
• Integrate AI agents with enterprise platforms including data catalogs, metadata repositories, data quality tools, MDM platforms, cloud data platforms, and governance technologies such as Ataccama, Collibra, Informatica, Microsoft Purview, Databricks, Snowflake, AWS, and Azure.
• Create proof-of-value demonstrations and pilot implementations to validate governance automation opportunities and accelerate stakeholder adoption.
• Collaborate with internal delivery teams and client stakeholders to continuously refine governance backlogs, prioritize agent development initiatives, and incrementally onboard governance controls across the enterprise.
• Implement monitoring, observability, guardrails, and governance controls for Agentic AI solutions to ensure security, compliance, transparency, and responsible AI practices.
• Support proposal development, solution architecture discussions, effort estimation, and client presentations related to Data & AI governance modernization initiatives.
• Contribute to reusable frameworks, accelerators, and best practices for enterprise-scale Agentic AI implementations focused on data governance and management.

Skills

Data governance

Data management

Data engineering

Metadata management

Enterprise data architecture

Python

AI/ML

LangChain

LangGraph

Semantic Kernel

Azure Cloud

AWS

Google Cloud

Tools

Collibra

Databricks Unity Catalog

Ataccama

Microsoft Purview

Databricks

Snowflake

Azure

AWS

Azure AI Foundry

OpenAI

Job description

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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a Databricks AI & Governance to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Day to Day Job Duties: (what this person will do on a daily/weekly basis)

Design, develop, and deploy Agentic AI solutions that automate data governance, data quality, metadata management, lineage analysis, policy enforcement, and stewardship workflows across enterprise data platforms.

Build scalable AI agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), orchestration frameworks, and enterprise governance tools to support data management and regulatory compliance initiatives.

Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to rapidly discover governance use cases, define agent capabilities, and align solution architecture with enterprise data strategy.

Develop and maintain autonomous and human-in-the-loop agents that assist with data cataloging, business glossary management, policy compliance validation, data ownership assignment, issue remediation, and governance workflow orchestration.

Integrate AI agents with enterprise platforms including data catalogs, metadata repositories, data quality tools, MDM platforms, cloud data platforms, and governance technologies such as Ataccama, Collibra, Informatica, Microsoft Purview, Databricks, Snowflake, AWS, and Azure.

Create proof-of-value demonstrations and pilot implementations to validate governance automation opportunities and accelerate stakeholder adoption.

Collaborate with internal delivery teams and client stakeholders to continuously refine governance backlogs, prioritize agent development initiatives, and incrementally onboard governance controls across the enterprise.

Implement monitoring, observability, guardrails, and governance controls for Agentic AI solutions to ensure security, compliance, transparency, and responsible AI practices.

Support proposal development, solution architecture discussions, effort estimation, and client presentations related to Data & AI governance modernization initiatives.

Contribute to reusable frameworks, accelerators, and best practices for enterprise-scale Agentic AI implementations focused on data governance and management.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

Minimum 8+ years of experience in Data Management, Data Engineering, Data Governance, Metadata Management, or Enterprise Data Architecture.

Minimum 5+ years of experience designing and implementing enterprise data governance, master data management (MDM), metadata management, data quality, or regulatory compliance solutions.

Minimum 3+ years of experience developing AI/ML, Generative AI, or Agentic AI solutions using LLMs and orchestration frameworks.

Minimum 3+ years of hands-on experience with Python and modern AI development frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI, Azure AI Foundry, Amazon Bedrock, or equivalent platforms.

Minimum 3+ years of experience working with cloud platforms including Azure, AWS, or Google Cloud Platform.

Minimum 2+ years of experience integrating governance platforms such as Collibra, Databricks Unity Catalog, or related data management technologies.

Minimum 2+ years of experience designing APIs, workflow orchestration, event-driven architectures, or enterprise system integrations.

Experience defining governance policies, lineage workflows, data quality controls, stewardship processes, and compliance monitoring capabilities.

Experience working in Agile delivery environments with backlog-driven development, iterative releases, and stakeholder feedback cycles.

Strong client-facing communication skills with the ability to lead workshops, requirements gathering sessions, architecture reviews, and executive demonstrations.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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