Senior AWS Data Architect - Hybrid Cloud Data Platform Lead

Ccube; Mississauga; Hybrid; CAD 140,000 - 180,000; Full time

Job summary

Ccube in Mississauga, ON (Hybrid, 3 days a week) is seeking a Senior AWS Data Architect to design, build, and optimize next-generation data platforms on AWS. You will bridge strategy and hands-on engineering, transforming raw data into actionable insights while ensuring security, scalability, governance, and cost control.

The role requires 10+ years in data engineering with 3+ years focused on cloud data architecture, and collaboration with data science and DevOps teams to align data solutions

Qualifications

• AWS Core Services knowledge (S3, Redshift, Glue, EMR, Kinesis, IAM).
• Programming languages: Python, Scala, or Java.
• Experience with distributed processing frameworks (Spark, Hadoop, Flink).
• Strong SQL and NoSQL database expertise.
• Data governance, metadata management, masking, encryption.
• Infrastructure as Code tools (Terraform or CloudFormation).
• CI/CD practices with Git tooling and deployment automation.

Responsibilities

• Design secure, scalable enterprise data lakes, data warehouses, and analytics on AWS.
• Build and maintain automated real-time and batch ETL/ELT pipelines.
• Create conceptual, logical, and physical data models for analytics and ML.
• Monitor and optimize AWS resources for performance and cost (FinOps).
• Implement governance and security controls compliant with regulations.
• Mentor junior engineers and collaborate with data scientists and DevOps.

Skills

AWS Core Services

Programming languages

Distributed processing

Databases (SQL/NoSQL)

Data governance

IaC (Terraform/CloudFormation)

DataOps/CI/CD

Tools

Terraform

AWS CloudFormation

Jenkins

GitHub Actions

AWS CodePipeline

Job description

Ccube in Mississauga, ON (Hybrid, 3 days a week) is seeking a Senior AWS Data Architect to design, build, and optimize next-generation data platforms on AWS. You will bridge strategy and hands-on engineering, transforming raw data into actionable insights while ensuring security, scalability, governance, and cost control.

The role requires 10+ years in data engineering with 3+ years focused on cloud data architecture, and collaboration with data science and DevOps teams to align data solutions