Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionPosition SummaryWe are seeking an experienced AWS Data Platform Architect to own and evolve our enterprise data platform. This role is responsible for designing a scalable, secure, and governed AWS-based data architecture that supports both current analytics and an AI-ready Data-as-a-Platform foundation.You will ensure the platform is AI-ready by design, embedding capabilities such as RAG patterns, semantic access, and graph-based data modeling, while maintaining operational stability of existing analytics workloads across Redshift, Databricks, Athena, and Power BI.This is a hands-on architecture leadership role that requires deep expertise in SQL, Python, and modern data platforms, with end-to-end ownership of data, analytics, and platform governance.Key ResponsibilitiesPlatform Architecture & StrategyDefine and evolve the target AWS data platform architecture across ingestion, storage, transformation, semantic, and consumption layersEstablish and enforce architecture standards for scalability, security, reliability, and cost efficiencyDesign integration and migration patterns across legacy and modern platforms (Redshift, Databricks, Athena, Power BI/Fabric, and semantic layers such as Cube/SPOT where applicable)Ensure platform evolution introduces new capabilities without disrupting existing reporting and analytics workloadsAI & Graph EnablementDesign and implement AI/LLM-ready architecture patterns, including RAG-based retrieval and semantic data accessDevelop and integrate graph data models to support relationship-driven analytics and intelligence use casesEnsure the platform supports efficient data access patterns for AI workloads, across structured, semi-structured,



and graph dataLead proofs-of-concept and reference implementations to validate AI and graph capabilities prior to production adoptionPlatform Ownership & OptimizationProvide architectural oversight for Redshift, Databricks, and Athena, ensuring performance optimization, workload governance, and cost efficiencyGuide and review complex SQL transformations and workloads, ensuring scalability and performance across large datasetsEnsure Power BI and semantic layers are aligned to governed, high-quality datasetsIdentify and resolve architecture-level bottlenecks impacting performance, cost, or reliabilityMaintain architecture documentation, standards, and technical decision recordsGovernance, Security & OperationsImplement and enforce data governance standards, including dataset certification, access control, and usage consistencyDefine and manage IAM roles, encryption, and security controls across AWS environmentsEnsure production stability through structured rollouts, validation, and change management practicesMonitor and continuously optimize platform performance and cost efficiencyLeadership & CollaborationDrive adherence to architectural best practices across engineering and analytics teams through standards, reviews, and guidanceTranslate business and analytics requirements into scalable, future-ready technical designsPartner with Data Engineering, BI, and platform teams to ensure consistent implementation across all layersSupport technical capability building through documentation, reviews, and knowledge sharingQualificationsRequiredBachelor’s degree in Computer Science, Engineering, or related field10+ years of experience in data architecture, data engineering,



or cloud data platformsProven experience designing and operating AWS-based enterprise data platformsHands-on expertise with Redshift, Databricks, Athena, and Power BI in production environmentsStrong proficiency in SQL and Python, enabling development, optimization, and troubleshooting of data pipelines, queries, and cross-platform integrationsExperience designing and implementing graph data models or graph databasesExperience enabling or integrating AI/LLM use cases within data platformsCore SkillsAWS architecture and cloud-native data design principlesAdvanced SQL expertise, including query optimization, data modeling, and performance tuning on large-scale datasetsPerformance optimization across up-to-date data platforms (Redshift, Databricks, Athena)Data governance and security, including IAM, access controls, and encryptionGraph modeling and relationship-driven data designBatch and real-time data processing patternsStrong troubleshooting and system-level performance tuningClear and structured architecture documentation and decision recordsPreferredExperience implementing CI/CD for data platformsAWS Professional-level certificationsFamiliarity with RAG architectures and LLM-driven data access patternsWhat You’ll DriveEvolution of a up-to-date, unified AWS data platform aligned to a Data-as-a-Platform modelAdoption of AI-ready data architecture, including RAG and semantic access patternsIntegration of graph-based modeling into enterprise analytics and intelligence use casesImproved performance, governance, and cost efficiency across the data ecosystemWhy This Role MattersThis role sits at the intersection of data platform architecture and next-generation AI enablement. You will shape how data is structured, accessed, and leveraged to support advanced analytics, intelligent applications, and scalable AI use cases, while ensuring the reliability and continuity of the existing data ecosystem.

📌 AWS Data Platform Architect (AI & Graph) (Bengaluru)
🏢 Thermo Fisher Scientific
📍 Bengaluru