Data Architect – AWS SageMaker & Serverless Data Platform

About the role

We are looking for a senior Data Architect to join our team as a full‑time Staff Consultant. The role will focus on building and operating a modern data foundation on AWS, enabling self‑service analytics through Amazon SageMaker Unified Studio and delivering serverless data pipelines.

Key responsibilities

• Configure, manage and support Amazon SageMaker Unified Studio, including data catalog, blueprints and serverless compute.
• Design, implement and maintain data lake architectures on Amazon S3 using Parquet, Iceberg and Delta formats.
• Build and optimise serverless pipelines with AWS Glue and AWS Lambda, ensuring reliability and monitoring via CloudWatch.
• Integrate Amazon OpenSearch Service for search and analytics use cases.
• Support QuickSight / QuickSight Q delivery for dashboards and self‑service reporting.
• Collaborate with AI/ML teams to embed agentic AI services for intelligent data rendering.
• Apply AWS Well‑Architected Framework principles for security, performance and cost optimisation.

Required profile

• 7+ years of experience in data architecture or engineering, preferably on AWS.
• Proven expertise with Amazon SageMaker Unified Studio and serverless data workflows.
• Strong background in data lake design, governance and large‑scale data management.

Required skills

• Amazon SageMaker Unified Studio
• AWS Glue
• AWS Lambda
• Amazon S3 (Parquet, Iceberg, Delta Lake)
• Amazon OpenSearch Service
• Amazon QuickSight / QuickSight Q
• AWS Well‑Architected Framework
• IAM and CloudWatch

What we offer

• Fully remote work from anywhere in Georgia.
• Opportunity to work with cutting‑edge AWS services and AI integration.
• Collaborative environment with modern offices in Tbilisi, Batumi and coworking space in Kutaisi.