Job
Description
As a visionary Data Mesh and Cloud Architect (Hybrid Architecture) Lead, your role will involve driving the implementation of a cutting-edge, scalable data and cloud ecosystem for an enterprise-wide Controls Technology initiative. You will combine leadership in designing and implementing a Data Mesh architecture with expertise in cloud and hybrid infrastructures, ensuring seamless integration of on-premises systems with cloud-native environments. **Key Responsibilities:** - **Data Mesh Architecture:** - Define and implement a comprehensive Data Mesh strategy, enabling distributed data ownership and empowering domain teams to own and govern their data. - 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. **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 - Team Leadership - Collaboration - Innovation Focus - Problem Solving If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi.,
