[Hiring] AWS Data Architect @Signet Jewelers

Role Description

We are seeking an AWS Data Architect to oversee enterprise data platform architecture, data modeling, and governance. This role combines hands-on technical leadership with architectural ownership of scalable, secure, and governed data platform solutions on AWS.

• Provide hands-on technical leadership through code reviews, architecture/design walkthroughs, and implementation guidance.
• Design, implement, and evolve event-driven and real-time data streaming architectures.
• Define and enforce best practices for data access, storage, and processing across analytical and operational use cases.
• Architect and implement scalable data platforms using AWS native services, with deep hands-on expertise in Python, AWS Glue, API Gateway, Kinesis, AWS Lambda, SQL, and Redshift.
• Ensure data architectures effectively support analytics, reporting, and AI/ML use cases.
• Drive end-to-end data modeling across operational and analytical domains.
• Define and implement robust data quality frameworks, including validation rules, automated checks, and reconciliation logic to ensure data integrity across both streaming and analytical data pipelines.
• Collaborate with data engineers, analysts, and business stakeholders to deliver data-driven solutions.
• Establish and enforce data governance standards including metadata management and cataloging cloud-native governance and cataloging services.
• Own and govern schema design and evolution across structured and semi-structured data formats (relational, JSON, Parquet).
• Design and implement monitoring, logging, and event-based alerting using Amazon CloudWatch and SNS.
• Ensure pipelines are fault-tolerant, observable, resilient, and scalable.

Qualifications

• 11+ years in software engineering or relevant IT experience.
• Strong knowledge of data architecture patterns (lakehouse, warehouse, mesh).
• Hands-on expertise with AWS services including SQS, API Gateway, SNS, Kinesis, Glue, Event Bridge, Redshift, Lambda, CloudWatch, RDS.
• Proven experience designing and operating enterprise-scale data platforms on AWS.
• Solid experience with data modeling, including designing scalable data structures for analytical and operational workloads.
• Strong understanding of event-driven architectures and real-time data streaming patterns.
• Working knowledge of networking fundamentals and IAM implementation within AWS cloud environments.
• Experience with Agentic AI or AI-driven data ingestion (e.g., using LLMs for data product creation, developer enablement).
• Experience with infrastructure as code (CDK/Terraform) and modern DevOps practices (CI/CD, GIT).
• Excellent communication skills with the ability to interface effectively with business stakeholders.

Benefits

• Competitive healthcare, dental & vision insurance.
• 401(k) matching after one year of employment.
• Generous time off + company holidays.
• Merchandise discount.
• Learning & Development programs.
• Much more!