Senior AWS Cloud Data Platform Engineer

Canada
On-site
Posted Sep 19, 2026
1 position

Opens an external site

Employment type: Contract
Experience level: Senior · 6+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, and operate scalable data and application platforms on AWS while developing efficient ETL/ELT workflows. Collaborate with cross-functional teams to maintain event-driven architectures and ensure high system performance and reliability.

Job details

JOB Description: We are seeking a highly skilled Senior Cloud/Data Engineer to design, build, and operate scalable data and application platforms on AWS. This role requires strong expertise in distributed systems, cloud-native services, and backend engineering, with a focus on reliability, security, and performance. You will work on modern data pipelines, event-driven architectures, and cloud-based applications while collaborating closely with cross-functional teams. Key Responsibilities Cloud Data & Platform Engineering Design, develop, and optimize data pipelines using Amazon Redshift, RDS, and DataSync/SFTP Build scalable ETL/ELT workflows using AWS Lambda and Managed Airflow (MWAA) Ensure high availability, performance, and cost-efficiency of data platforms Event-Driven & Distributed Systems Develop and maintain event-driven architectures using Amazon SQS and SNS Implement scheduling and orchestration logic using AWS-native Schedulers Build containerized services deployed on Amazon ECS Application & System Design Design robust, scalable systems with strong emphasis on performance and fault tolerance Participate in system design and application architecture reviews Define best practices for service design, resilience, and observability Software Development Develop backend services and data workflows using Python and/or TypeScript Write clean, maintainable, and testable code Improve developer productivity through reusable components and frameworks Database Management Design and manage relational databases, focusing on: Transaction management Performance tuning and indexing Data integrity and consistency Write efficient and optimized SQL queries Infrastructure & Security Apply strong fundamentals in: Networking concepts (VPC, subnets, routing, security groups) Cryptography and data protection Ensure compliance with security best practices and data governance standards Systems & Operations Work in Unix/Linux environments for deployment, troubleshooting, and system tuning Monitor system performance and resolve production issues proactively Required Qualifications 6+ years of experience in cloud engineering, backend development, or data engineering Strong hands-on experience with: AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow Proficiency in Python and/or TypeScript Deep understanding of: SQL and relational databases Distributed systems and system design Experience with event-driven architectures Solid knowledge of: Networking fundamentals Security and cryptography principles Strong experience working in Linux/Unix environments Preferred Qualifications Experience with large-scale data platforms or analytics systems Exposure to data migration tools (DataSync, SFTP pipelines) Familiarity with CI/CD pipelines and DevOps practices AI/ML knowledge or experience integrating AI capabilities into applications is a strong plus Soft Skills Strong problem-solving and analytical thinking Excellent communication and collaboration skills Ability to work in fast-paced, agile environments Ownership mindset and attention to detail

What you’ll do

Requirements

Requires 6+ years of experience in cloud or data engineering with strong proficiency in AWS services, Python, and SQL. Candidates must possess deep knowledge of distributed systems, networking fundamentals, and Linux/Unix environments.