Cloud Data Engineer

Overview

Position Description

Opportunity Overview

We are seeking a highly skilled Senior Cloud Data Solutions Engineer to drive the design, development, and scaling of data-driven platforms that support advanced analytics, machine learning, and high-value business decisioning. This role is instrumental in shaping next-generation data, trading decisioning, and risk management systems.

You will work hands-on across the full data and ML pipeline—spanning data engineering, MLOps, and cloud-native development—while also influencing architectural direction and mentoring engineering teams. This is an excellent opportunity to work in a modern, collaborative, and innovation-focused technology environment.

What You Will Do

• Lead by Doing: Design, develop, and review scalable data pipelines, high-performance backend systems, and ML engineering workflows; own projects end-to-end with deep hands-on coding.
• Set Technical Direction: Establish engineering best practices in data, ML, and cloud platforms; evaluate modern technologies and drive adoption in alignment with strategic goals.
• Cross-Functional Collaboration: Partner with data scientists, business stakeholders, and technology teams to translate requirements into production-grade solutions.
• Deliver at Scale: Ensure high-quality execution across data and ML products—manage risks, maintain compliance with enterprise standards, and uphold robust data governance and security practices.
• Architect for the Future: Contribute to large-scale cloud architectures that support distributed processing, real-time analytics, and next-gen ML capabilities.
  
  

What You Need to Succeed

Must Have

• 7+ years designing and building high-performance, data-intensive backend systems with strong knowledge of distributed systems.
• 5+ years hands-on experience with big data and distributed processing tools (e.g., Apache Spark, Hadoop, AWS Glue, AWS EMR, Snowflake, Azure Databricks, Azure Data Factory).
• Solid understanding of the machine learning lifecycle, including MLOps practices such as model deployment, monitoring, CI/CD, and automated pipelines.
• Hands-on expertise with cloud platforms (AWS or Azure) and scalable architectural patterns.
• Working knowledge of front-end frameworks (React, Angular) and backend frameworks (FastAPI, Flask, Node.js, or Spring Boot).
• Strong communication skills with the ability to explain technical concepts to diverse audiences.
• Bachelor's degree in Computer Science, Engineering, or related field (Master's/PhD preferred).
  
  

Nice to Have

• Experience with AWS SageMaker, ML model serving, or LLM deployment workflows.
• Experience in full-stack development.
  
  

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.