Senior AWS Data Architect

Signet Jewelers

. Define and own enterprise data architecture strategies, future-state architectures, architectural principles, technology standards, and modernization roadmaps .

Posted 11/12/2026full-timeRemote • Texas • United StatesSenior💰 $175,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudTerraform

About the role

Key responsibilities & impact

Define and own enterprise data architecture strategies, future-state architectures, architectural principles, technology standards, and modernization roadmaps
Lead architecture assessments, technical feasibility studies, design reviews, and Architectural Review Board activities
Evaluate emerging technologies and architectural patterns and communicate recommendations and trade-offs to business and technology leadership
Define the architecture and roadmap for an AI-ready enterprise data foundation supporting analytics, ML, GenAI, and agentic AI
Define reusable architecture patterns for RAG, embeddings, vector search, enterprise knowledge integration, and governed model access
Partner with Data Governance, Security, Engineering, and AI teams to establish responsible AI data controls and standards
Architect scalable, secure, highly available, resilient, and cost-effective AWS data platforms
Design end-to-end architectures for data ingestion, integration, storage, processing, transformation, and consumption across batch, streaming, event-driven, API-based, analytical, and operational workloads
Establish standards for performance optimization, disaster recovery, cloud security, observability, cost management, monitoring, logging, alerting, fault tolerance, backup, recovery, and operational readiness
Provide hands-on technical leadership through architecture walkthroughs, code reviews, proof-of-concept development, implementation guidance, and design reviews
Guide engineering teams in maintainable, production-ready solutions using reusable components, infrastructure as code, CI/CD, Git, and modern DevOps practices
Lead technical problem resolution, incident response, root cause analysis, and corrective actions
Define and promote data warehouses, lakehouse architectures, Data Mesh, and domain-oriented data products
Lead data modeling across analytical domains, including data structures, schema design, data contracts, JSON, and Parquet
Partner with business stakeholders, enterprise architects, data engineers, analysts, application teams, and integration partners
Mentor engineers and influence cross-functional technical decisions, architecture discipline, collaboration, innovation, and continuous improvement

Requirements

What you’ll need

12+ years of progressive technology experience, with significant experience in enterprise data architecture, cloud architecture, and data engineering
Deep understanding of modern data architecture patterns, including data lakes, data warehouses, lakehouse architectures, Data Mesh, data products, and event driven architectures
Proven experience designing and operating enterprise-scale data platforms on AWS
Hands-on expertise in Redshift, RDS, AWS Glue, Lambda, Kinesis, EventBridge, API Gateway, SQS, SNS, IAM, and CloudWatch
Solid experience with data modeling for analytical and operational workloads
Experience leading architecture and technical design reviews for complex enterprise solutions
Experience with infrastructure as code using AWS CDK or Terraform, CI/CD pipelines, Git, and modern DevOps practices
Strong understanding of scalability, resiliency, high availability, disaster recovery, performance optimization, cloud security, networking fundamentals, IAM, and cloud cost management
Experience with agentic AI or AI-driven data ingestion using LLMs
Demonstrated ability to lead and influence highly technical teams, mentor engineers, build consensus, and communicate architecture recommendations effectively to technical and executive audiences
Experience with Data Mesh, domain-oriented architecture, data products, or data contracts preferred
Self-driven to stay current through continuous research and professional development