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Data Architect-KYC

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Onsite

Data Architect-KYC

Mizuho

Data Architect-KYC

Skills

Data EngineeringData AnalysisComplianceRegulatory ComplianceAzure

17 days ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

7 October 2026

What they need


Why Mizuho

At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and richer work experience than a boutique firm or an established giant could offer alone

It’s the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who have the same ambition and drive, you can amplify your sphere of influence and base of knowledge as part of one of the largest and growing banks in the world.

About the Team:

Regulatory & Compliance Technology function is part of Corporate Services Technology group and focused on delivering strategic platforms and solutions across Regulatory Reporting and Compliance domain, including U.S. Regulatory Reporting, KYC, AML, Sanctions, Transactions Screening etc.

Role Summary:

The Global KYC Data Architect is responsible for defining, governing, and evolving the end-to-end data architecture for the enterprise KYC (Know Your Customer) landscape across all regions and jurisdictions. This role ensures a scalable, compliant, and standardized data architecture that supports regulatory obligations, client onboarding, analytics, and reporting capabilities globally.

The architect will own the development and maintenance of the Enterprise KYC Data Model – ODS , including definition of Conceptual, Logical, and Physical Data Models , ensuring consistency of source data across platforms. The role will work closely with business, regulatory, technology, security, and data governance teams to drive data standardization, quality, lineage, and interoperability across the KYC ecosystem.

Key Responsibilities:

  • Define and maintain the Global KYC Enterprise Data Architecture and target-state data blueprint.
  • Produce and govern Logical Data Models (LDM) and Physical Data Models (PDM) for KYC platforms and associated data domains.
  • Establish enterprise-wide standards for customer, account, entity, ownership, risk, and regulatory data.
  • Ensure data models align with business capabilities, regulatory requirements, and enterprise architecture principles.
  • Evaluate and incorporate data residency, sovereignty, and cross-border data transfer requirements across jurisdictions.
  • Partner with regional stakeholders to ensure KYC data solutions comply with local regulations while maintaining a global operating model.
  • Maintain and evolve the Enterprise Data Model and define integration patterns across KYC, onboarding, and other systems in this ecosystem.
  • Define data lineage, metadata standards. Drive data quality, consistency, reconciliation, and stewardship practices across KYC data assets.
  • Collaborate with cloud, platform, security, and governance teams to ensure architectural alignment and regulatory compliance.
  • Support regulatory audits, data control assessments, and remediation initiatives related to customer and KYC data.
  • Provide architectural oversight for strategic transformation programs involving customer lifecycle management, entity resolution, and client data modernization.

Qualifications:

  • 12+ years of experience in Data Architecture, Data Engineering, or Data Management.
  • Strong experience in Financial Services, Banking, KYC, AML, or Client Lifecycle Management (CLM).
  • Proven expertise in developing and maintaining Logical Data Models (LDMs) and Physical Data Models (PDMs).
  • Experience defining and maintaining Enterprise Data Models for KYC and supporting business domains.
  • Strong understanding of customer, counterparty, legal entity, and reference data domains.
  • Experience with data governance, data quality, metadata management, and data lineage.
  • Knowledge of data residency, data sovereignty, privacy, and cross-border data transfer regulations.
  • Experience designing data solutions on cloud platforms, preferably Microsoft Azure.
  • Familiarity with data integration, APIs, data lakes, data warehouses, and analytics platforms.
  • Strong stakeholder management skills with the ability to work across business, compliance, and technology teams.
  • Experience supporting global initiatives across multiple regions and regulatory jurisdictions.
  • Excellent communication, documentation, and problem-solving skills.
  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
  • TOGAF, CDMP, Azure, or equivalent architecture/data certifications preferred.

Organization Overview:

Mizuho Global Services (MGS), Pune is an integral part of Mizuho Financial Group, one of the world’s leading financial institutions with a strong global presence across the Americas, EMEA, and Asia. Based in India, MGS Pune supports Mizuho’s international businesses by delivering high-quality, scalable, and resilient services across multiple functions.

MGS Pune plays a critical role in driving operational excellence, standardization, and innovation for Mizuho Americas. By combining deep domain expertise with strong process, technology, and analytical capabilities, it partners closely with regional and global teams to support corporate and investment banking, capital markets, and corporate services functions, while adhering to the highest standards of risk management, regulatory compliance, and control.

MGS Pune offers competitive compensation and benefits package aligned with industry standards and local market practices. MGS Pune is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. Employment is subject to applicable background verification checks in accordance with Indian laws and company policies.

https://www.mizuhogroup.com/asia-pacific/mizuho-global-serv ices/careers

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