AWS Data Architect (Hybrid)

AWS Data Architect (Hybrid) Coppell, TX Job Details Full-time 19 hours ago Benefits Store discount Health insurance Dental insurance Vision insurance 401(k) matching Qualifications Data model design Cloud identity and access management (IAM) Stakeholder engagement Data storage Machine learning/AI-based analysis Cloud data warehouses Data modeling projects Infrastructure as Code (IaC) Amazon Simple Notification Service (SNS) IT system monitoring 11+ years Git Scalable systems SQL Database design Data Architecture Design (Architecture design skills) Solution architecture design AWS Glue Data quality monitoring Terraform Continuous integration Software development Scalability IT Amazon CloudWatch Cloud Architecture Design (Architecture design skills)

JSON CDK

Data validation Metadata Redshift Real-time data processing implementation Senior level AI Cloud monitoring Communication skills Python Metadata management Analytics Stakeholder management AWS Lambda Full Job Description We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People

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AWS Data Architect Locations:

Dallas, TX or Akron, OH (Hybrid)

POSITION SUMMARY

: We are seeking a 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. The ideal candidate will own the data architecture and governance framework, define best practices for analytical and streaming workloads and guide engineering teams through design, implementation and optimization. This role works closely with business stakeholders, data engineers and integration partners to ensure data solutions are reliable, performant and aligned with enterprise strategy.

RESPONSIBILITIES

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

POSITION 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 dev ops practices (CI/CD, GIT) Excellent communication skills with the ability to interface effectively with business stakeholders.

BENEFITS & PERKS

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!