Data Mesh & Cloud Architecture Lead -SVP

Citi
Full_time•Chennai, India

📍 Job Overview

  • Job Title: Data Mesh & Cloud Architecture Lead - SVP
  • Company: Citi
  • Location: Chennai, Tamil Nādu, India
  • Job Type: Hybrid (On-site & Remote)
  • Category: Data Architecture & Cloud Infrastructure
  • Date Posted: June 23, 2025
  • Experience Level: 10+ years in Banking or Financial Services
  • Remote Status: Hybrid (Remote & On-site)

🚀 Role Summary

  • Lead the implementation of a cutting-edge Data Mesh architecture and hybrid cloud ecosystem for Citi's enterprise-wide Controls Technology initiative.
  • Enable decentralized data ownership, ensure data accessibility, and deliver secure, scalable architectures that meet business needs.
  • Collaborate with business units, technical teams, and stakeholders to integrate domain-specific data into the broader enterprise architecture.
  • Foster a culture of innovation and data-driven decision-making throughout the organization.

📝 Enhancement Note: This role combines strategic leadership with hands-on technical expertise to drive data and cloud transformation at a global scale. The ideal candidate will have a strong background in both Data Mesh principles and hybrid cloud architectures, with a proven track record of delivering large-scale projects.

💻 Primary Responsibilities

🔄 Data Mesh Architecture

  • Define and implement a comprehensive Data Mesh strategy that enables distributed data ownership and empowers domain teams to own and govern their data.
  • Design scalable, discoverable, and high-quality data products aligned with organizational goals, ensuring data security, compliance, and consistency across domains.
  • Establish and enforce data governance standards to ensure data quality, lineage, and compliance, while fostering collaboration and data sharing.
  • Collaborate with business units to integrate domain-specific data into the broader enterprise architecture, promoting a data-driven culture and enabling better decision-making.

🌐 Cloud and Hybrid Architecture

  • Design and implement hybrid cloud architectures that integrate on-premises systems with cloud-native AWS services, ensuring scalability, security, and reliability.
  • Lead cloud migration efforts, including lift-and-shift and refactoring of legacy applications for cloud optimization, to improve performance, scalability, and cost efficiency.
  • Build and manage infrastructure as code (IaC) frameworks for automated deployment and management of hybrid environments, ensuring consistency, version control, and easy rollback.
  • Establish robust disaster recovery, backup, and business continuity solutions for hybrid systems, ensuring high availability and minimal downtime.

👥 Team Leadership

  • Build and lead a cross-functional team of data engineers, cloud architects, and infrastructure specialists to deliver on the Data Mesh and hybrid architecture vision.
  • Mentor team members to ensure skills development and alignment with evolving technologies, fostering a culture of continuous learning and improvement.
  • Foster a collaborative environment between data and cloud teams to ensure seamless integration and performance, promoting a culture of shared responsibility and collective success.

🤝 Cross-Functional Collaboration

  • Work closely with Generative AI and other Controls Technology teams to ensure interoperable solutions and scalable integrations, driving innovation and data-driven decision-making across the organization.
  • Act as a liaison between technical and business teams, translating complex requirements into actionable designs and ensuring that technical solutions meet business needs and objectives.
  • Promote a culture of innovation and data-driven decision-making throughout the organization, encouraging experimentation, iteration, and continuous improvement.

📈 Performance Monitoring & Optimization

  • Implement monitoring frameworks for data and cloud systems, ensuring optimal performance, uptime, and cost efficiency.
  • Continuously evaluate emerging technologies to improve scalability, security, and efficiency, staying ahead of industry trends and best practices.

🎓 Skills & Qualifications

Education

  • Bachelor's/University degree in Computer Science, Data Engineering, Cloud Computing, or a related field, or equivalent experience, potentially Master's degree/MBA

Experience

  • 10+ years of experience in Banking or Financial Services
  • 8+ years of experience in data architecture and cloud infrastructure roles, with at least 3 years focused on Data Mesh or hybrid cloud solutions
  • Extensive hands-on experience with AWS services and hybrid cloud infrastructures
  • Proven ability to deliver large-scale cloud migrations and data architecture transformations

Required Skills

  • Data Mesh Expertise:

    • Deep knowledge of Data Mesh principles, distributed data systems, and domain-driven design
    • Proficiency in building and managing scalable data pipelines and data products

  • Cloud & Hybrid Infrastructure:

    • Expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and hybrid cloud architecture
    • Strong experience with containerization (Docker) and orchestration (Kubernetes)
    • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation)

  • Data Governance & Integration:

    • Proven ability to enforce data governance frameworks, ensuring data quality, lineage, and compliance
    • Knowledge of API development and integration strategies for hybrid environments

  • Networking & Security:

    • Strong understanding of hybrid networking, including VPCs, VPNs, security groups, and IAM
    • Familiarity with integrating data products into AI/ML platforms and advanced analytics tools

Required Leadership & Soft Skills

  • Strategic Vision: Ability to define and execute a long-term strategy for integrating Data Mesh and hybrid cloud architectures into the enterprise ecosystem
  • Team Leadership: Proven track record of building and managing cross-functional teams in complex, distributed environments
  • Collaboration: Excellent communication and collaboration skills to work effectively across technical and business units
  • Innovation Focus: Passion for exploring and applying emerging technologies to drive business transformation
  • Problem Solving: Strong analytical and problem-solving skills to address complex challenges in data and cloud systems

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Data Mesh Architecture: Demonstrate your understanding of Data Mesh principles by showcasing a project that enables decentralized data ownership and governance, with clear data domains, data products, and data governance practices.
  • Cloud Architecture: Highlight your expertise in hybrid cloud architectures by presenting a project that integrates on-premises systems with cloud-native AWS services, ensuring scalability, security, and reliability.
  • Data Governance & Integration: Showcase your ability to enforce data governance standards by presenting a project that ensures data quality, lineage, and compliance, while fostering collaboration and data sharing.
  • Team Leadership: Illustrate your leadership skills by describing a project where you led a cross-functional team to deliver on a complex data and cloud architecture initiative.

Technical Documentation:

  • Code Quality: Demonstrate your commitment to code quality and best practices by providing examples of well-commented, modular, and maintainable code.
  • Version Control & Deployment: Showcase your experience with version control systems (e.g., Git) and deployment processes (e.g., CI/CD pipelines) by describing a project where you ensured seamless integration and deployment of data and cloud systems.
  • Testing & Performance Optimization: Highlight your approach to testing methodologies, performance metrics, and optimization techniques by presenting a project where you improved the performance and scalability of a data or cloud system.

📝 Enhancement Note: As this role requires a strong combination of technical expertise and leadership, your portfolio should emphasize both your deep technical skills and your ability to lead and collaborate with cross-functional teams to deliver complex data and cloud architecture projects.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be ₹2,500,000 - ₹3,500,000 per annum, based on market standards for senior data architecture and cloud leadership roles in the Banking and Financial Services industry in Chennai, India. This estimate takes into account the candidate's experience level, the role's complexity, and regional cost of living.

📝 Enhancement Note: The provided salary range is an estimate based on market research and may vary depending on the candidate's experience, skills, and the company's internal compensation structure. The actual salary offer should be verified directly with the hiring organization.

Benefits:

  • Comprehensive health, dental, and vision coverage for employees and their dependents
  • Retirement savings plans with company matching contributions
  • Generous time-off policies, including vacation, sick leave, and flexible work arrangements
  • Employee stock purchase plan and other equity-based compensation options
  • Employee discounts and perks, including access to banking and financial services
  • Professional development opportunities, including training, certifications, and mentorship programs
  • Employee assistance programs, including counseling services and work-life balance resources

Working Hours: Full-time (40 hours per week) with flexible working arrangements, including remote work options and a hybrid work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Banking and Financial Services

Company Size: Large (200,000+ employees)

Founded: 1812 (as CitiBank; became Citi in 1976)

Team Structure:

  • The Data Mesh & Cloud Architecture team will consist of cross-functional specialists in data engineering, cloud architecture, and infrastructure management.
  • The team will report directly to the Head of Controls Technology, working closely with business units, technical teams, and stakeholders to deliver on the Data Mesh and hybrid architecture vision.

Development Methodology:

  • Agile methodologies, including Scrum and Kanban, will be employed to manage sprint planning, code review, testing, and deployment processes.
  • Infrastructure as Code (IaC) frameworks, such as Terraform and CloudFormation, will be used for automated deployment and management of hybrid environments.
  • Continuous Integration and Continuous Deployment (CI/CD) pipelines will be implemented to ensure seamless integration, testing, and deployment of data and cloud systems.

Company Website: https://www.citi.com/

📝 Enhancement Note: Citi's global presence and extensive experience in the Banking and Financial Services industry offer unparalleled opportunities for career growth, innovation, and collaboration. The company's commitment to data-driven decision-making and digital transformation makes it an ideal place for a Data Mesh and Cloud Architecture Lead to drive enterprise-wide change and make a significant impact.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Leadership (SVP)

Reporting Structure: The Data Mesh & Cloud Architecture Lead will report directly to the Head of Controls Technology, working closely with business units, technical teams, and stakeholders to drive data and cloud transformation initiatives.

Technical Impact: This role will have a significant impact on Citi's enterprise-wide Controls Technology initiative, enabling decentralized data ownership, ensuring data accessibility, and delivering secure, scalable architectures that meet business needs.

Growth Opportunities:

  • Career Progression: As a Senior Vice President (SVP), the ideal candidate for this role will have already established a strong track record of leadership and technical expertise in data architecture and cloud infrastructure. This role offers the opportunity to further advance one's career by driving enterprise-wide transformation and making a significant impact on Citi's global technology landscape.
  • Technical Skill Development: The Data Mesh & Cloud Architecture Lead will have the opportunity to stay up-to-date with emerging technologies, trends, and best practices in data and cloud architecture, fostering continuous learning and professional growth.
  • Technical Leadership: This role offers the chance to mentor and develop team members, fostering a culture of collaboration, innovation, and continuous improvement within the Data Mesh and Cloud Architecture team and across the broader organization.

📝 Enhancement Note: The Data Mesh & Cloud Architecture Lead role at Citi presents a unique opportunity for a seasoned data architecture and cloud infrastructure professional to drive enterprise-wide transformation, foster innovation, and make a significant impact on the company's global technology landscape. The ideal candidate will have a strong background in both Data Mesh principles and hybrid cloud architectures, with a proven track record of delivering large-scale projects and leading cross-functional teams.

🌐 Work Environment

Office Type: Hybrid (On-site & Remote)

Office Location(s): Chennai, Tamil Nādu, India (with potential for remote work and global collaboration)

Workspace Context:

  • Collaboration: The hybrid work environment at Citi encourages collaboration and knowledge sharing between team members, business units, and technical teams, fostering a culture of collective responsibility and shared success.
  • Work Tools & Equipment: Citi provides state-of-the-art hardware, software, and collaboration tools to ensure that employees have the resources they need to perform their jobs effectively, both on-site and remotely.
  • Work-Life Balance: Citi is committed to promoting a healthy work-life balance, offering flexible work arrangements, remote work options, and a supportive work environment that prioritizes employee well-being.

Work Schedule: Full-time (40 hours per week) with flexible working arrangements, including remote work options and a hybrid work environment. Working hours may vary depending on project deadlines, maintenance windows, and global collaboration requirements.

📝 Enhancement Note: Citi's hybrid work environment offers the best of both on-site collaboration and remote flexibility, enabling employees to balance their professional and personal lives while driving innovation and delivering exceptional results. The company's commitment to employee well-being, work-life balance, and continuous learning makes it an ideal place for a Data Mesh & Cloud Architecture Lead to thrive and make a significant impact.

📄 Application & Technical Interview Process

Interview Process:

  1. Phone/Screen: A brief phone or video call to assess communication skills, cultural fit, and initial qualifications.
  2. Technical Deep Dive: A comprehensive technical interview focused on Data Mesh principles, hybrid cloud architectures, data governance, and leadership skills. This may include case studies, architecture design exercises, and coding challenges.
  3. Behavioral & Situational: An in-depth discussion of the candidate's problem-solving skills, leadership experience, and cultural fit, using behavioral and situational interview questions.
  4. Final Evaluation: A meeting with senior leadership to assess the candidate's strategic vision, alignment with Citi's goals, and overall fit for the role.

Portfolio Review Tips:

  • Data Mesh Architecture: Highlight your understanding of Data Mesh principles by showcasing a project that enables decentralized data ownership and governance, with clear data domains, data products, and data governance practices.
  • Cloud Architecture: Emphasize your expertise in hybrid cloud architectures by presenting a project that integrates on-premises systems with cloud-native AWS services, ensuring scalability, security, and reliability.
  • Data Governance & Integration: Demonstrate your ability to enforce data governance standards by presenting a project that ensures data quality, lineage, and compliance, while fostering collaboration and data sharing.
  • Team Leadership: Illustrate your leadership skills by describing a project where you led a cross-functional team to deliver on a complex data and cloud architecture initiative.

Technical Challenge Preparation:

  • Data Mesh & Cloud Architecture: Brush up on your knowledge of Data Mesh principles, hybrid cloud architectures, data governance, and cloud migration strategies. Familiarize yourself with AWS services, containerization, and orchestration tools, as well as Infrastructure as Code (IaC) frameworks.
  • Leadership & Soft Skills: Prepare for behavioral and situational interview questions by reflecting on your problem-solving skills, leadership experience, and cultural fit. Practice articulating your strategic vision, team-building strategies, and approaches to fostering innovation and collaboration.

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Data

Application Requirements

Candidates should have over 10 years of experience in Banking or Financial Services, with at least 8 years in data architecture and cloud infrastructure roles. Extensive hands-on experience with AWS services and proven ability to deliver large-scale cloud migrations is required.