Data Mesh & Cloud Architecture Lead -SVP

📍 Job Overview

• Job Title: Data Mesh & Cloud Architecture Lead - SVP
• Company: Citi
• Location: Chennai, Tamil Nādu, India
• Job Type: Hybrid
• Category: Data Architecture
• Date Posted: June 23, 2025

🚀 Role Summary

• Lead the implementation of a cutting-edge, scalable data and cloud ecosystem for Citi's enterprise-wide Controls Technology initiative.
• Combine leadership in designing and implementing a Data Mesh architecture with expertise in cloud and hybrid infrastructures.
• Foster innovation, ensure data accessibility, and deliver secure, scalable architectures that meet business needs.

💻 Primary Responsibilities

• Data Mesh Architecture:

  • Define and implement a comprehensive Data Mesh strategy, enabling decentralized data ownership.
  • Design scalable, discoverable, and high-quality data products aligned with organizational goals.
  • Establish and enforce data governance standards to ensure data security, compliance, and consistency across domains.
  • Collaborate with business units to integrate domain-specific data into the broader enterprise architecture.

• 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.
  • Build and manage infrastructure as code (IaC) frameworks for automated deployment and management of hybrid environments.
  • Establish robust disaster recovery, backup, and business continuity solutions for hybrid systems.

• 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, ensuring skills development and alignment with evolving technologies.
  • Foster a collaborative environment between data and cloud teams to ensure seamless integration and performance.

• Cross-Functional Collaboration:

  • Work closely with Generative AI and other Controls Technology teams to ensure interoperable solutions and scalable integrations.
  • Act as a liaison between technical and business teams, translating complex requirements into actionable designs.
  • Promote a culture of innovation and data-driven decision-making throughout the organization.

• 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.

🎓 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, Financial Services, with at least 8 years in data architecture and cloud infrastructure roles, and 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.
• Excellent communication skills, ability to work under pressure, and lead projects with multiple counterparts across organizations.

Required Technical 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.

• Advanced Analytics:

  • 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:

  • Demonstrate a strong portfolio showcasing data architecture, cloud migration, and hybrid infrastructure projects.
  • Highlight successful data Mesh implementations, cloud optimization, and data governance initiatives.
  • Include case studies detailing project scope, challenges, solutions, and outcomes.

• Technical Documentation:

  • Provide detailed documentation for each project, including data architecture diagrams, cloud infrastructure designs, and code snippets.
  • Include version control, deployment processes, and server configuration details.
  • Showcase testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

• Salary Range: Competitive salary package based on experience and industry standards for a Senior Vice President role in the Banking and Financial Services sector in Chennai, Tamil Nādu, India.

• Benefits:

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits, including 401(k) matching and pension plans.
  • Generous paid time off, including vacation, sick leave, and holidays.
  • Employee assistance programs, including counseling and work-life balance resources.
  • Tuition reimbursement and professional development opportunities.
  • Employee discounts on various products and services.

• Working Hours: Full-time position with a hybrid work arrangement, requiring on-site presence for a specified number of days per week.

🎯 Team & Company Context

• Company Culture:

  • Industry: Financial Services
  • Company Size: Large enterprise
  • Founded: 1812 (Citi's founding year)

• Team Structure:

  • The Data Mesh and Cloud Architecture team consists of data engineers, cloud architects, and infrastructure specialists, working collaboratively to deliver on the Data Mesh and hybrid architecture vision.
  • The team reports directly to the Senior Vice President, driving strategic initiatives and cross-functional collaboration.

• Development Methodology:

  • Agile methodologies, including Scrum and Kanban, are employed for project management and software development.
  • Code reviews, testing, and quality assurance practices ensure high-quality deliverables and maintainable codebases.
  • Deployment strategies, CI/CD pipelines, and server management are integral to the development process.

• Company Website: Citi

📈 Career & Growth Analysis

• Web Technology Career Level: Senior Vice President (SVP) in Data Architecture, leading a cross-functional team and driving strategic initiatives for a large financial services organization.

• Reporting Structure: Reports directly to the Senior Vice President, collaborating with technical and business stakeholders to define and execute the Data Mesh and hybrid cloud architecture vision.

• Technical Impact: Oversees the design and implementation of a cutting-edge data and cloud ecosystem, ensuring seamless integration of on-premises systems with cloud-native environments and fostering innovation in data accessibility and security.

• Growth Opportunities:

  • Data Mesh & Cloud Architecture Evolution: Stay at the forefront of emerging data Mesh and cloud technologies, continuously expanding expertise and driving innovation in the financial services sector.
  • Team Leadership & Mentoring: Develop and refine leadership skills, mentoring team members, and fostering a collaborative environment that promotes professional growth.
  • Cross-Functional Collaboration: Build strong relationships with technical and business teams, facilitating interoperable solutions and driving business value through data-driven decision-making.

🌐 Work Environment

• Office Type: Hybrid work arrangement, combining on-site presence with remote work flexibility.

• Office Location(s): Chennai, Tamil Nādu, India, with potential for remote work days based on team and project requirements.

• Workspace Context:

  • Collaborative workspaces with multiple monitors, testing devices, and development tools to support data architecture, cloud migration, and hybrid infrastructure projects.
  • Access to cross-functional teams, fostering knowledge sharing and technical mentoring opportunities.

• Work Schedule: Full-time position with a hybrid work arrangement, requiring on-site presence for a specified number of days per week, with flexible hours to accommodate project deadlines and maintenance windows.

📄 Application & Technical Interview Process

• Interview Process:

  • Technical Assessment: Evaluate technical skills through hands-on coding challenges, system design discussions, and problem-solving exercises focused on data architecture, cloud migration, and hybrid infrastructure.
  • Behavioral & Cultural Fit: Assess cultural fit and leadership potential through behavioral interviews, case studies, and role-play scenarios.
  • Final Evaluation: Evaluate overall fit, technical expertise, and strategic vision for the role based on interview performance and project presentations.

• Portfolio Review Tips:

  • Data Architecture & Cloud Migration Case Studies: Highlight successful data Mesh implementations, cloud optimization, and data governance initiatives, demonstrating problem-solving skills and strategic thinking.
  • Technical Documentation: Include detailed project documentation, data architecture diagrams, and cloud infrastructure designs, showcasing attention to detail and commitment to quality.
  • Presentation Strategy: Tailor presentations to Citi's data architecture and cloud migration needs, focusing on project outcomes, user experience, and business impact.

• Technical Challenge Preparation:

  • Data Architecture & Cloud Migration Scenarios: Familiarize yourself with data Mesh principles, hybrid cloud architectures, and AWS services to tackle complex challenges effectively.
  • Problem-Solving & Communication: Develop strong problem-solving skills, communication techniques, and the ability to articulate technical concepts clearly and concisely.

🛠 Technology Stack & Web Infrastructure

• Data Mesh & Cloud Architecture Tools:

  • Data Mesh: Apache Atlas, Talend, and other data cataloging and governance tools.
  • Cloud & Hybrid Infrastructure: Amazon Web Services (AWS) - EC2, S3, RDS, Lambda, and other AWS services.
  • Infrastructure as Code (IaC): Terraform, CloudFormation, and other IaC tools for automated deployment and management of hybrid environments.

• Data Governance & Integration Tools:

  • Data Governance: Apache Atlas, Apache Ranger, and other data governance tools.
  • API Development & Integration: AWS API Gateway, AWS Lambda, and other integration tools.

• Networking & Security Tools:

  • Networking: Amazon Virtual Private Cloud (VPC), AWS Direct Connect, and other networking tools.
  • Security: AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and other security tools.

• Advanced Analytics Tools:

  • Advanced Analytics: Amazon Athena, Amazon Redshift, and other advanced analytics tools.

👥 Team Culture & Values

• Web Development Values:

  • Data-Driven Decision-Making: Prioritize data-driven insights and continuous learning to inform architectural decisions and improve user experience.
  • Collaboration & Innovation: Foster a culture of collaboration and innovation, encouraging knowledge sharing and cross-functional teamwork.
  • User Experience Focus: Design data architecture and cloud infrastructure with a strong focus on user experience, accessibility, and performance optimization.
  • Continuous Learning & Improvement: Encourage team members to stay up-to-date with emerging technologies and best practices, driving continuous improvement in data architecture and cloud migration processes.

• Collaboration Style:

  • Cross-Functional Integration: Work closely with technical and business teams, promoting a culture of collaboration and knowledge sharing.
  • Code Review & Peer Programming: Encourage code reviews and peer programming practices to ensure high-quality deliverables and maintainable codebases.
  • Knowledge Sharing & Mentoring: Foster a culture of knowledge sharing and mentoring, supporting the professional growth of team members.

📝 Enhancement Note:

The provided job description has been enhanced to include detailed, structured, and insightful information tailored to web development, server administration, and infrastructure professionals seeking their next opportunity in the web technology industry. The enhanced job description aims to provide actionable insights, strategic advice, and comprehensive coverage of the role's key aspects, ensuring a competitive advantage for candidates in the application and interview process.