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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 solid 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

- Robust 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

📌 Senior AWS Cloud Data Platform Engineer (Ontario)
🏢 CBL Solutions
📍 Ontario