Databricks AI & Governance

NTT Data Americas, Inc.; Plano (TX); On-site; USD 135,000 - 150,000; Full time

Job summary

NTT DATA is seeking a Databricks AI & Governance professional in Plano, TX, to design and deliver agentic AI solutions for data governance, metadata, and policy enforcement. You will work with data engineers, governance engineers, and business stakeholders to accelerate enterprise governance initiatives.

The role emphasizes developing autonomous and human-in-the-loop agents, integrating with catalogs and cloud platforms, and delivering pilots, demos, and scalable frameworks to support governance

Qualifications

• 8+ years in Data Management, Data Engineering, Data Governance, Metadata Management, or Enterprise Data Architecture.
• 5+ years designing enterprise data governance, MDM, metadata management, data quality, or regulatory compliance solutions.
• 3+ years developing AI/ML or Agentic AI using LLMs and orchestration frameworks.
• 3+ years Python and AI development frameworks (LangChain, LangGraph, Semantic Kernel, OpenAI, Azure AI Foundry, etc.).
• 3+ years cloud platforms (Azure, AWS, or Google Cloud Platform).
• 2+ years integrating governance platforms (Collibra, Databricks Unity Catalog).
• 2+ years designing APIs, workflow orchestration, event-driven architectures, or enterprise integrations.
• Experience defining governance policies, lineage, data quality controls, and compliance monitoring.
• Agile delivery experience with backlog-driven development and stakeholder feedback.
• Strong client-facing communication to lead workshops and executive demos.

Responsibilities

• Design, develop, and deploy Agentic AI solutions for data governance and stewardship workflows.
• Build scalable AI agents using LLMs and RAG to support data management and compliance.
• Collaborate with governance engineers, data engineers, and architects on client use cases.
• Develop autonomous and human-in-the-loop agents for cataloging, glossary management, and policy enforcement.
• Integrate AI agents with data catalogs, metadata repositories, data quality tools, and cloud platforms.
• Create proof-of-value demos and pilots to validate governance automation opportunities.
• Refine governance backlogs with client stakeholders and incrementally onboard controls.
• Implement monitoring, observability, and governance controls for Responsible AI practices.
• Support proposal development, solution architecture discussions, and client presentations.
• Contribute to reusable frameworks and accelerators for enterprise governance implementations.

Skills

Client-facing communication

Agile practices

Leadership

Data governance

Data management

Tools

Python

LangChain

LangGraph

Semantic Kernel

OpenAI

Azure AI Foundry

Amazon Bedrock

Job description

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.

NTT DATA's Client is currently seeking a Databricks AI & Governance to join their team in Plano, Texas (US-TX), United States (US).

Job Description:

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 Client 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 trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is 65$/hr - 75$/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits

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