Data Architect (Staff Consultant)

About the role

We are looking for a Staff Consultant to act as a long‑term, full‑time resident Data Architect. The role centers on building and operating a modern data foundation on AWS, enabling self‑service analytics through Amazon SageMaker Unified Studio, and integrating AI services for intelligent data rendering.

Key responsibilities

• Configure, manage, and support Amazon SageMaker Unified Studio, including data catalog, blueprints, and serverless compute.
• Design and maintain repeatable, governed data workflows and IAM governance configurations.
• Architect scalable data lake solutions on Amazon S3 using Parquet, Iceberg, and Delta formats, with cataloging, partitioning, and lifecycle management.
• Integrate Amazon OpenSearch Service for search and analytics use cases.
• Build and optimise serverless data pipelines with AWS Glue and AWS Lambda, ensuring reliability and monitoring via CloudWatch and Glue metrics.
• Support Quick Suite (QuickSight / QuickSight Q) for dashboards and self‑service reporting.
• Collaborate with AI/ML teams to embed agentic AI services for automated insights.
• Apply AWS Well‑Architected Framework principles focusing on security, reliability, performance, and cost.
• Document architectures, configurations, and runbooks, and conduct knowledge‑transfer sessions.

Required profile

• 7+ years of experience in data architecture or engineering, preferably on AWS.
• Proven expertise with Amazon SageMaker Unified Studio and serverless compute.
• Strong background in data lake design and modern storage formats.
• Excellent communication skills in English (B2 level or higher).

Required skills

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