**Work Schedule** Standard (Mon-Fri) **Environmental Conditions** Office **Job Description** **Position Summary** We 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 contemporary data platforms, with end-to-end ownership of data, analytics, and platform governance. **Key Responsibilities** **Platform Architecture & Strategy** + Define and evolve the **target AWS data platform architecture** across ingestion, storage, transformation, semantic, and consumption layers + Establish and enforce **architecture standards** for scalability, security, reliability, and cost efficiency + Design **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 workloads** **AI & Graph Enablement** + Design and implement **AI/LLM-ready architecture patterns** , including **RAG-based retrieval and semantic data access** + Develop and integrate **graph data models** to support relationship-driven analytics and intelligence use cases + Ensure the platform supports **efficient data access patterns for AI workloads** , across structured, semi-structured, and graph data + Lead **proofs-of-concept and reference implementations** to validate AI and graph capabilities prior to production adoption **Platform Ownership & Optimization** + Provide architectural oversight for **Redshift, Databricks, and Athena** , ensuring **performance optimization,



workload governance, and cost efficiency** + Guide and review **complex SQL transformations and workloads** , ensuring scalability and performance across large datasets + Ensure **Power BI and semantic layers** are aligned to governed, high-quality datasets + Identify and resolve **architecture-level bottlenecks** impacting performance, cost, or reliability + Maintain **architecture documentation, standards, and technical decision records** **Governance, Security & Operations** + Implement and enforce **data governance standards** , including dataset certification, access control, and usage consistency + Define and manage **IAM roles, encryption, and security controls** across AWS environments + Ensure **production stability** through **structured rollouts, validation, and change management practices** + Monitor and continuously optimize platform **performance and cost efficiency** **Leadership & Collaboration** + Drive adherence to **architectural best practices** across engineering and analytics teams through standards, reviews, and guidance + Translate business and analytics requirements into **scalable, future-ready technical designs** + Partner with Data Engineering, BI, and platform teams to ensure **consistent implementation across all layers** + Support **technical capability building** through documentation, reviews, and knowledge sharing **Qualifications** **Required** + Bachelor's degree in Computer Science, Engineering, or related field + 10+ years of experience in **data architecture, data engineering, or cloud data platforms** + Proven experience designing and operating **AWS-based enterprise data platforms** + Hands-on expertise with **Redshift, Databricks, Athena, and Power BI** in production environments + Strong proficiency in **SQL and Python** ,



enabling development, optimization, and troubleshooting of data pipelines, queries, and cross-platform integrations + Experience designing and implementing **graph data models or graph databases** + Experience enabling or integrating **AI/LLM use cases** within data platforms **Core Skills** + AWS architecture and **cloud-native data design principles** + Advanced SQL expertise, including **query optimization, data modeling, and performance tuning on large-scale datasets** + Performance optimization across **up-to-date data platforms** (Redshift, Databricks, Athena) + **Data governance and security** , including IAM, access controls, and encryption + **Graph modeling** and relationship-driven data design + Batch and real-time data processing patterns + Strong troubleshooting and **system-level performance tuning** + Transparent and structured **architecture documentation and decision records** **Preferred** + Experience implementing **CI/CD for data platforms** + AWS **Professional-level certifications** + Familiarity with **RAG architectures and LLM-driven data access patterns** **What You'll Drive** + Evolution of a **modern, unified AWS data platform** aligned to a Data-as-a-Platform model + Adoption of **AI-ready data architecture** , including RAG and semantic access patterns + Integration of **graph-based modeling** into enterprise analytics and intelligence use cases + Improved **performance, governance, and cost efficiency** across the data ecosystem **Why This Role Matters** This 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. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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