Job Title

The Platform Lead Architect will be responsible for defining the Platform Framework and Platform Capabilities, Platform Policies and ensuring their implementation by Sodexo Platform Teams (the Integration & Analytics Hubs).This role is central to ensuring seamless data integration, scalability, and efficiency of our internal data system to support business intelligence, analytics, and real-time decision-making. The lead platform architect will collaborate with cross-functional teams to deliver a robust, secure, and scalable data ecosystem aligned with the organization’s strategic objectives.Work Location: Mumbai / Gurgaon / Bangalore / HyderabadRoles & Responsibilities:Architecture Design & Strategy:- Design and implement scalable data architecture framework on Azure, incorporating API Hub, Azure iPaaS, Databricks, and Analytics Hub. - Develop and maintain a comprehensive data integration strategy that ensures seamless connectivity between diverse data sources and business applications. - Ensure the Regional teams are properly onboarded on Platform Capabilities & Framework. - Ensure cohesion with Enterprise Architecture, to ensure Platform Capabilities answer Business needs.Data Governance & Security:- Establish and enforce data governance frameworks, ensuring compliance with data privacy regulations and organizational standards. - Ensure robust data security and access management protocols are in place across all Azure services, including encryption, identity, and access controls.Collaboration & Leadership:- Collaborate with cross-functional teams, including data engineers, developers, analysts, and business stakeholders, to gather requirements and implement as Platform Patterns. - Provide technical leadership and guidance to the platform teams to build aligned cohesive ecosystem.API & Integration Management:- Collaborate in the development of APIs framework within the API Hub and Azure iPaaS to ensure data consistency and real-time access across systems. - Ensure patterns for API lifecycle management, including versioning, monitoring, and performance tuning are implemented.Performance Optimization & Innovation:- Ensure implementation of observability, monitoring and optimizations of data pipelines and cloud infrastructure, ensuring high availability, low latency, and cost-efficiency, capabilities are answering business and project needs. - Stay updated on the latest Azure tools, features, and best practices, incorporating them into the architecture to drive innovation and improve business outcomes.Documentation & Best Practices:- Create and maintain comprehensive documentation of platform framework & patterns - Define and promote best practices for data teams, utilizing platform patternsProject Management & Delivery:- Support the delivery of critical data projects, ensuring they benefit from platform patterns & standards effectively - Manage stakeholder expectations and provide regular updates on platform progress, risks, and mitigation strategies.Required Skills:- 12+ years of professional experience in data architecture, data engineering, with a strong focus on Azure services. - Proven experience in designing and implementing scalable cloud-based architectures using Azure components such as Azure Data Lake, Azure Databricks, Azure Synapse, and Azure iPaaS. - In-depth experience with API management and API integration strategies, specifically with Azure API Management and other integration services. - Experience in building modern Data Platforms, focused on Event-Driven Architectures, Microservices, API’s, Zero-Copy, Virtualization - Is able to well communicate to various audiences (executives, project managers, developers) Platform Patterns and maintain documentation sharable with Enterprise Architects - Strong background in data governance, security, and compliance frameworks, with knowledge of regulatory requirements like GDPR or HIPAA. - Demonstrated leadership experience in overseeing complex data projects and managing cross-functional teams, with a focus on data integration, analytics, and performance optimization. - Experience with Databricks for big data processing, machine learning pipelines, and advanced analytics is a must. - Familiarity with Azure DevOps and CI/CD pipelines for deploying and managing cloud resources and APIs. - Strong understanding of data modelling, ETL processes, and modern data architecture principles (e.g., Data Lakes, Data Warehouses, and Data Hubs). - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree in a relevant discipline is a plus. - Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Data Engineer Associate, or similar cloud architecture certifications are highly desirable.