AWS Data Architect

Toronto, ON
On-site
Posted Nov 6, 2026
1 position

Opens LinkedIn

Employment type: Contract
Experience level: 10+ years
Posting language: English
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Design, develop, and implement scalable, secure, high-performance data architecture solutions on AWS, including modern data platforms and enterprise data architecture. Lead cloud data transformation initiatives and support large-scale data migration and modernization projects.

Job details

Job Summary We are looking for an experienced AWS Data Architect to design, develop, and implement scalable, secure, and high-performance data architecture solutions on Amazon Web Services (AWS). The ideal candidate will have strong experience in cloud data platforms, data engineering, data warehousing, ETL/ELT pipelines, and big data technologies. The candidate will be responsible for defining enterprise data architecture, building modern data platforms, and leading cloud data transformation initiatives. Required Qualifications 10+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platforms. 5+ years of hands-on experience with AWS data services. Strong experience designing enterprise-scale data architectures. Extensive experience with AWS Glue, S3, Redshift, and Athena. Strong knowledge of SQL, Python, and PySpark. Experience with large-scale data migration and cloud modernization projects. Excellent communication, stakeholder management, and technical leadership skills. Good to Have AWS Certified Solutions Architect – Professional. AWS Certified Data Engineer – Associate. Experience with Snowflake or Databricks. Knowledge of CI/CD, Terraform, and Infrastructure as Code. Experience working in banking, financial services, or enterprise environments.

What you’ll do

Requirements

Requires 10+ years of experience in data engineering, data architecture, or cloud data platforms, including 5+ years of hands-on experience with AWS data services. Candidates should have enterprise-scale architecture experience, strong skills in AWS Glue, S3, Redshift, Athena, SQL, Python, and PySpark, and strong communication, stakeholder management, and technical leadership abilities.