AWS Data Platform Architect

thermofisher

Bangalore 8 Years Exp Posted 1h ago

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

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

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

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

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