Senior AWS Data Architect

🔥 4 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $175k - $215k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Signet Jewelers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1949

🛒 Retail

🛍️ eCommerce

👗 Fashion

Retail • eCommerce • Fashion

Signet Jewelers is the world's largest retailer of diamond jewelry, with a focus on bringing quality jewelry that expresses love and inspires trust among customers. The company owns several well-known brands such as Kay Jewelers, Zales, Jared, and Blue Nile, offering a wide range of fine jewelry and customizable designs. They emphasize sustainability and responsible sourcing in their operations. Signet aims to help people celebrate life and express love through their products while promoting human rights and preserving the environment. They have a strong market presence in the United States, Canada, and the UK.

📋 Description

• 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

• 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

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