Senior AWS Data Architect - AI-Ready Data Foundation

Signet Jewelers Limited; Akron (OH); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Great Place to Work-Certified

Job summary

Signet Jewelers Limited is seeking a Sr. AWS Data Architect to lead the design, modernization, governance and evolution of our enterprise data platforms.

The role focuses on scalable, secure, reusable data foundations that enable analytics, BI, ML, GenAI and agentic AI. You will define future state architectures, reference patterns, and roadmaps while guiding analytics workloads across batch, streaming and API-driven systems.

Qualifications

• 12+ years of progressive technology experience in enterprise data architecture and cloud data platforms.
• Deep understanding of data lakes, data warehouses, lakehouse patterns and Data Mesh.
• Proven experience designing and operating enterprise-scale data platforms on AWS.
• Hands-on expertise in Python and AWS data engineering patterns; able to lead architecture reviews and design discussions.

Responsibilities

• Define and own enterprise data architecture strategies and modernization roadmaps.
• Architect AI-ready data foundations for analytics, ML, GenAI and RAG-enabled solutions.
• Provide hands-on leadership with architecture walkthroughs, code reviews and POC guidance.
• Collaborate with governance, security and AI teams to ensure secure, compliant data platforms.

Skills

Enterprise data architecture

Cloud architecture

Data engineering

Architecture leadership

Python

Tools

Amazon Redshift

AWS Glue

Lambda

Kinesis

EventBridge

API Gateway

SQS

SNS

IAM

CloudWatch

AWS CDK

Terraform

Job description

Signet Jewelers Limited is seeking a Sr. AWS Data Architect to lead the design, modernization, governance and evolution of our enterprise data platforms.

The role focuses on scalable, secure, reusable data foundations that enable analytics, BI, ML, GenAI and agentic AI. You will define future state architectures, reference patterns, and roadmaps while guiding analytics workloads across batch, streaming and API-driven systems.