AWS Data Platform Architect (AI & Graph)
Thermo Fisher Scientific13 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and evolve the target AWS data platform architecture across ingestion, storage, transformation, semantic, and consumption layers.
- Establish architecture standards for scalability, security, reliability, governance, and cost efficiency.
- Design integration and migration patterns across Redshift, Databricks, Athena, Power BI/Fabric, and semantic layers such as Cube and SPOT.
- Design and implement RAG-based retrieval, semantic data access, graph data models, and AI/LLM-ready architecture patterns.
- Provide architectural oversight and performance, workload, governance, and cost optimization for Redshift, Databricks, and Athena.
- Guide complex SQL transformations and workloads and resolve architecture-level performance, cost, and reliability bottlenecks.
- Define IAM roles, encryption, access controls, data governance standards, structured rollouts, validation, and change management practices.
- Maintain architecture documentation, standards, technical decision records, and knowledge-sharing practices.
- Lead technical reviews and guide engineering, analytics, BI, data engineering, and platform teams toward consistent implementation.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a 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 production experience with Redshift, Databricks, Athena, and Power BI.
- Strong proficiency in SQL and Python for data pipelines, queries, optimization, troubleshooting, 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.
- Expertise in AWS architecture, cloud-native data design, data governance, IAM, access controls, encryption, performance tuning, and batch and real-time processing patterns.
- Preferred qualifications include CI/CD experience for data platforms, AWS Professional-level certifications, and familiarity with RAG architectures and LLM-driven data access patterns.
Benefits
- Standard Monday-Friday work schedule in an office environment.
About Thermo Fisher Scientific
Thermo Fisher Scientific builds analytical instruments, lab equipment and consumables, specialty diagnostics, and provides pharma services (CDMO and clinical research) for biotech, pharma, academic, and healthcare customers. It earns revenue through product sales, e-commerce distribution (Fisher Scientific), and contract services under brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Patheon, and PPD. Headquartered in Waltham, MA, it is publicly traded on the NYSE (TMO) and was created by the 2006 merger of Thermo Electron and Fisher Scientific.