Databricks AI & Governance

NTT DATA North America; Bengaluru Urban; On-site; INR 9,091,000 - 12,440,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k with company match

Paid time off

Flexible spending or health savings

Job summary

NTT DATA in Bangalore, India seeks an experienced Databricks AI & Governance professional to design, develop, and deploy agentic AI solutions for data governance across enterprise platforms. This role collaborates with governance engineers, data engineers, and business stakeholders to scope use cases and align architecture with data strategy.

The position emphasizes building autonomous and human-in-the-loop agents, integrating with data catalogs, quality tools, and platforms like Databricks,

Qualifications

• Minimum 8+ years of experience in Data Management, Data Governance, Metadata Management, or Enterprise Data Architecture.
• Minimum 5+ years of experience designing and implementing enterprise data governance, 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 LLMs, Retrieval Augmented Generation (RAG), orchestration frameworks, and governance tools to support data management and regulatory compliance initiatives.
• Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to 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 refine governance backlogs, prioritize agent development initiatives, and 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

Metadata management

MDM

AI/ML

Python

Cloud platforms

LLMs

Orchestration frameworks

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI

Azure AI Foundry

Databricks Unity Catalog

Job description

Req ID: 388309

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:

• 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:

• 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.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $95,000-$130,000 . Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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