Data Architect

U.S. Bank; Chennai District; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

U.S. Bancorp India is seeking a Data Architect to define, design, and govern enterprise data architecture enabling growth, compliance, analytics, and AI/ML capabilities.

This role partners with business, product, data engineers, and governance teams to establish scalable data solutions and standards. You will translate business requirements into conceptual, logical, and physical models, ensure data quality and security, and lead governance activities across the organization in Chennai-based

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data architecture, data modeling, database design, or enterprise information management.
• 5+ years designing enterprise-scale data platforms and cloud-native architectures.
• Experience in regulated industries such as Financial Services, Banking, Healthcare, or Insurance.
• Strong expertise in data modeling, governance, data integration, and cloud platforms.

Responsibilities

• Identify opportunities to leverage data for operational efficiency, customer experience, analytics, and AI initiatives.
• Design and maintain conceptual, logical, and physical data models.
• Define enterprise data standards, naming conventions, and modeling best practices.
• Create scalable architectures that support operational, analytical, and AI/ML workloads.
• Develop domain-driven data models and reusable enterprise data assets.
• Collaborate with Data Governance organizations to establish data standards, policies, and stewardship processes.
• Define business metadata, reference data, business glossaries, and taxonomies.
• Promote data quality, consistency, accuracy, completeness, and trust across enterprise data assets.
• Ensure compliance with regulatory, risk management, and information security requirements.
• Lead requirements gathering sessions with business stakeholders.
• Translate business processes, KPIs, and use cases into information models and data structures.
• Facilitate alignment between business and technology architecture roadmaps.
• Design data flows supporting real-time, batch, streaming, and event-driven architectures.
• Collaborate with data engineers to implement robust and scalable pipelines.
• Ensure compliance with enterprise architecture standards and technology roadmaps.
• Define semantic layers, business metrics, KPIs, and analytical data models.
• Enable trusted datasets for reporting, BI, ML, and AI applications.
• Ensure consistency between business definitions and analytical implementations.
• Create and maintain architecture artifacts, data dictionaries, lineage diagrams, models, and standards.
• Support architecture governance reviews and design approvals.

Skills

Data modeling

Data governance

Enterprise data architecture

SQL

Stakeholder collaboration

Education

Bachelor's degree in CS/IS/Data/related field

Tools

Snowflake

Databricks

Azure Data Services

AWS Data Platforms

Collibra

Informatica

Power BI

Apache Kafka

AI/ML platforms

Job description

At U.S. Bancorp India, we're on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

The Data Architect is responsible for defining, designing, and governing enterprise data architecture to enable business growth, regulatory compliance, analytics, AI/ML capabilities, and operational excellence. This role partners with business leaders, product teams, data engineers, architects, governance teams, and technology stakeholders to establish scalable data solutions, standards, and models that support strategic business objectives and enterprise-wide data reuse. The Data Architect serves as a bridge between business strategy and technology implementation by translating business requirements into scalable conceptual, logical, and physical data architectures while ensuring alignment with enterprise governance, security, and data quality standards.

Roles & Responsibilities

• Identify opportunities to leverage data for operational efficiency, customer experience, analytics, and AI initiatives.
• Design and maintain conceptual, logical, and physical data models.
• Define enterprise data standards, naming conventions, and modeling best practices.
• Create scalable architectures that support operational, analytical, and AI/ML workloads.
• Develop domain-driven data models and reusable enterprise data assets.
• Collaborate with Data Governance organizations to establish data standards, policies, and stewardship processes.
• Define business metadata, reference data, business glossaries, and taxonomies.
• Promote data quality, consistency, accuracy, completeness, and trust across enterprise data assets.
• Ensure compliance with regulatory, risk management, and information security requirements.
• Lead requirements gathering sessions with business stakeholders.
• Translate business processes, KPIs, and use cases into information models and data structures.
• Facilitate alignment between business and technology architecture roadmaps.
• Design data flows supporting real-time, batch, streaming, and event-driven architectures.
• Collaborate with data engineers to implement robust and scalable pipelines.
• Ensure compliance with enterprise architecture standards and technology roadmaps.
• Define semantic layers, business metrics, KPIs, and analytical data models.
• Enable trusted datasets for reporting, business intelligence, machine learning, and AI applications.
• Ensure consistency between business definitions and analytical implementations.
• Create and maintain architecture artifacts, data dictionaries, lineage diagrams, models, and standards.
• Support architecture governance reviews and design approvals.

Experience / Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, Business Information Systems, or related field.
• 8+ years of experience in data architecture, data modeling, database design, or enterprise information management.
• 5+ years designing enterprise-scale data platforms and cloud-native architectures.
• Experience working in regulated industries such as Financial Services, Banking, Healthcare, or Insurance.
• Experience supporting large-scale data transformation or modernization initiatives.
• Strong expertise in conceptual, Logical, and Physical Data Modeling, ER Modeling and Dimensional Modeling, Data Governance and Data Quality Frameworks, Data Integration and API Design, Data Warehousing and Lakehouse Architectures, Cloud Platforms (Azure, AWS), SQL and Database Technologies
• Technology stack – Snowflake, Databricks, Azure Data Services, AWS Data Platforms, Collibra, Informatica, Power BI, Apache Kafka, AI/ML Enablement Platforms
• Shift Timings - 11 AM - 8 PM
• Location - Chennai

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Posting may be closed earlier due to high volume of applicants.

U.S. Bancorp India is a part of the U.S. Bank family. At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what you excel at—at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.