Job Title: Senior Cloud Data Platform Engineer (AWS Platform Engineering) Location :- Toronto, ON (Hybrid/Remote options)

---

Role Overview 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: o Transaction management o Performance tuning and indexing o Data integrity and consistency
• Write efficient and optimized SQL queries Infrastructure & Security
• Apply strong fundamentals in: o Networking concepts (VPC, subnets, routing, security groups) o 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: o AWS services: Redshift, RDS, Lambda, SQS, SNS, ECS, Managed Airflow
• Proficiency in Python and/or TypeScript
• Deep understanding of: o SQL and relational databases o Distributed systems and system design
• Experience with event-driven architectures
• Solid knowledge of: o Networking fundamentals o 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