Own and evolve the enterprise data platform, designing a scalable, secure, and governed AWS-based data architecture that supports current analytics and an AI-ready Data-as-a-Platform foundation
Job Summary
Own and evolve the enterprise data platform, designing a scalable, secure, and governed AWS-based data architecture that supports current analytics and an AI-ready Data-as-a-Platform foundation.
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.
This is a hands-on architecture leadership role requiring deep expertise in SQL, Python, and modern data platforms, with end-to-end ownership of data, analytics, and platform governance.
Matching Summary
Own and evolve the enterprise data platform, designing a scalable, secure, and governed AWS-based data architecture that supports current analytics and an AI-ready Data-as-a-Platform foundation.
Skills & Requirements
Must-have
AWS data platform architecture
AI-ready data platform
Graph-based data modeling
RAG patterns
Redshift, Databricks, Athena, Power BI
SQL and Python proficiency
Data governance and security
Nice-to-have
CI/CD for data platforms
AWS Professional certifications
LLM-driven data access patterns
Key Requirements
8+ years of experience in data architecture
Bachelor's degree in Computer Science, Engineering, or related field
Experience designing and operating AWS-based enterprise data platforms
Hands-on expertise with Redshift, Databricks, Athena, and Power BI
Strong proficiency in SQL and Python
Experience designing and implementing graph data models or graph databases
Experience enabling or integrating AI/LLM use cases