MS Fabric - Principal Data Engineer

Req ID: 376323

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, apply now.

We are currently seeking a MS Fabric - Principal Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Experience

• Overall Experience: 10+ years in Data Management, Data Governance, Data Architecture, or Enterprise Information Management

• Relevant Experience: 4+ years of hands-on experience with one or more leading Data Governance platforms such as Collibra, Microsoft Purview, Informatica Intelligent Data Management Cloud (IDMC), Alation, or similar enterprise data governance solutions.

• Location: Flexible / Hybrid (based on business needs)

Role Summary

We are seeking an experienced Data Governance Architect to join our Data Practice – Data Governance Center of Excellence (COE). This is a strategic consulting and technical leadership role responsible for building and growing our enterprise Data Governance capability while supporting pre-sales, solution architecture, project delivery, innovation, and competency development.

The ideal candidate will have deep expertise in implementing enterprise Data Governance platforms and frameworks, along with strong consulting, stakeholder management, and solution architecture skills.

Key Responsibilities

Pre-Sales & Solutioning

• Partner with sales teams and customers to understand business and regulatory requirements.

• Lead discovery workshops and governance maturity assessments.

• Design enterprise Data Governance solutions aligned with business and technology objectives.

• Prepare architecture documents, implementation roadmaps, proposals, and effort estimations.

• Support RFP/RFI responses and customer presentations.

• Define governance operating models, implementation strategies, and adoption roadmaps.

• Work closely with enterprise architects, data leaders, and business stakeholders during solution design.

Proof of Concepts (POCs) & Innovation

• Design and develop Data Governance proof-of-concepts for prospective customers.

• Demonstrate capabilities across metadata management, business glossary, data catalog, lineage, data quality, and policy management.

• Evaluate emerging governance technologies and recommend best-fit solutions.

• Create reference implementations showcasing governance capabilities and business value.

Delivery Support

• Provide architecture oversight across Data Governance implementation projects.

• Review solution designs and ensure adherence to enterprise standards and best practices.

• Guide implementation teams on platform configuration, metadata integration, lineage, cataloging, workflow automation, and security.

• Support complex technical challenges, governance operating model implementation, and platform optimization.

• Ensure successful integration with enterprise data platforms and business applications.

Competency & COE Development

• Build and strengthen the organization's Data Governance competency.

• Define implementation standards, governance frameworks, reusable methodologies, and best practices.

• Mentor architects, consultants, and engineers.

• Conduct internal training sessions, workshops, and knowledge-sharing initiatives.

• Develop learning paths and certification plans for Data Governance technologies.

• Contribute to practice growth through thought leadership, whitepapers, and technical blogs.

Accelerators & Framework Development

• Build reusable accelerators, templates, governance workflows, and implementation frameworks.

• Develop governance operating model templates, business glossary structures, metadata standards, and policy templates.

• Create reusable assets for:

• Data Catalog

• Metadata Management

• Data Lineage

• Business Glossary

• Data Classification

• Data Ownership

• Data Stewardship

• Data Policies

• Data Quality Monitoring

• Compliance Reporting

• Continuously improve delivery methodologies and automation capabilities.

Required Technical Skills

Data Governance

Strong experience implementing enterprise Data Governance initiatives including:

• Data Governance Frameworks

• Governance Operating Model

• Data Stewardship

• Business Glossary

• Data Catalog

• Technical Metadata Management

• Business Metadata Management

• Data Lineage

• Data Classification

• Data Ownership

• Policy Management

• Reference Data Management

• Metadata Harvesting

• Data Quality Governance

• Data Privacy

• Regulatory Compliance

• Data Lifecycle Management

Platform Expertise

Hands-on implementation experience with one or more of:

• Collibra

• Microsoft Purview

• Informatica IDMC (Data Governance & Catalog)

• Alation

• Informatica Enterprise Data Catalog (EDC)

• Microsoft Fabric Data Governance capabilities (preferred)

• Other enterprise governance platforms

Should have experience in:

• Metadata ingestion and scanning

• Business glossary implementation

• Data catalog configuration

• Technical and business lineage

• Workflow design

• Role-based access and security

• Policy implementation

• Data stewardship workflows

• API integration

• Automation

Data Management

Strong understanding of:

• Data Architecture

• Data Modeling

• Master Data Management

• Reference Data Management

• Data Warehousing

• Data Lakes

• Lakehouse Architecture

• Metadata Management

• Data Integration

• Data Migration

• Data Quality

Data Integration & Cloud

Experience with enterprise integration technologies such as:

• Informatica IDMC

• Azure Data Factory

• Microsoft Fabric

• Databricks

• Snowflake

• AWS Data Services

• Google Cloud Data Services

• Apache Kafka

• REST APIs

• SQL

• Python

• PowerShell or scripting for automation

Compliance & Governance Standards

Knowledge of:

• DAMA DMBOK

• DCAM

• GDPR

• CCPA

• HIPAA (preferred)

• BCBS 239 (preferred)

• Data Privacy regulations

• Information Security principles

Preferred Skills

• Experience defining enterprise-wide Data Governance operating models.

• Knowledge of Data Mesh and Data Products.

• Experience implementing governance in cloud-native analytics platforms.

• Familiarity with AI/ML governance and responsible AI concepts.

• Experience with metadata-driven automation and governance workflows.

• Exposure to enterprise architecture frameworks (TOGAF or equivalent).

• Experience in global consulting or IT services organizations.

• Agile delivery experience.

Leadership Expectations

• Act as the technical leader for Data Governance engagements.

• Influence enterprise governance strategy and architecture.

• Collaborate with business executives, CDO organizations, enterprise architects, and delivery teams.

• Drive governance adoption across client organizations.

• Build reusable intellectual property and accelerators.

• Mentor and develop the next generation of Data Governance consultants.

• Contribute to practice growth and strategic initiatives.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Information Systems, or related discipline.

• Relevant certifications in Collibra, Microsoft Purview, Informatica IDMC, Alation, or equivalent platforms are highly preferred.

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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