AWS Data Platform Architect AI & Graph

Work Schedule

Environmental Conditions

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 modern 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 ac