Senior AWS Data Architect & Data Engineering Lead (Remote)

Signet Jewelers; Cleveland (OH); On-site; USD 132,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Merchandise discount

Learning & Development

Company holidays

Job summary

Signet Jewelers is hiring a Senior Technical Lead, Data Engineering for a hands-on leadership role focused on AWS-based data platforms. You will drive architectural decisions, establish patterns for ingestion, processing and governance, and mentor data engineers across teams.

You will design scalable data solutions, ensure performance, security and reliability, and collaborate with analytics, platform, and business stakeholders to deliver data products and AI/ML use cases in a remote setting.

Qualifications

• 10+ years of software/data engineering or related tech experience with leadership responsibilities.
• Strong hands-on experience building enterprise data platforms on AWS.
• Deep expertise in AWS services: Glue, Lambda, Redshift, RDS, Kinesis, EventBridge, API Gateway, SQS/SNS, CloudWatch.

Responsibilities

• Provide hands-on technical leadership across data platform initiatives, including design reviews and optimization.
• Lead end-to-end data solutions from requirements through production deployment in AWS.
• Guide engineers, enforce best practices, and promote coding standards.

Skills

Leadership

Data engineering

Architecture design

Collaborative teamwork

Tools

Python

SQL

AWS Glue

AWS Lambda

API Gateway

Kinesis

EventBridge

SQS/SNS

Redshift

RDS

CloudWatch

Databricks

Delta Lake

Unity Catalog

Terraform

AWS CDK

Job description

Signet Jewelers is hiring a Senior Technical Lead, Data Engineering for a hands-on leadership role focused on AWS-based data platforms. You will drive architectural decisions, establish patterns for ingestion, processing and governance, and mentor data engineers across teams.

You will design scalable data solutions, ensure performance, security and reliability, and collaborate with analytics, platform, and business stakeholders to deliver data products and AI/ML use cases in a remote setting.