Position Description:
Solution Architect - Data - Local to Pittsburgh/Cleveland/Dallas/Phoenix/Birmingham
Position Description
We’re growing rapidly and are looking for a Solution Architect to join our team and help us develop and deploy enterprise-grade platforms that enable data-driven solutions.
You will be responsible for designing, implementing, and overseeing data-driven solutions that support business objectives. This role bridges the gap between business needs and technical implementation, ensuring that solutions are scalable, efficient, and aligned with enterprise architecture.
At CGI, you’ll make an impact for some of the largest organizations and brands in the world while enjoying unparalleled career growth in the process.
We’re a close-knit team that has access to global resources. You’ll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers.
Growth at CGI is driven by your goals, so if you’re looking for an inclusive place where you’re empowered to chart your own path, then we’d love to meet you.
Your future duties and responsibilities:
• Develop end-to-end architecture for data science and AI/ML solutions.
• Ensure integration with existing enterprise systems and data pipelines.
• Define best practices for data ingestion, processing, storage, and model deployment.
• Work closely with stakeholders to identify business challenges and propose data-driven solutions.
• Translate business requirements into scalable and cost-effective solutions.
• Ensure compliance with data governance, security, and privacy regulations.
• Collaborate with data engineering teams to design and optimize data pipelines.
• Design and implementation of data quality scorecards and metrics.
• Collaborate with business and technical teams to provide direction for and contribute to development, implementation and rollout of solutions and consulting services.
• Facilitate design and solution workshops with clients
• Implement monitoring and performance tuning for data science applications.
• Optimize data processing and model inference for real-time and batch applications.
Required qualifications to be successful in this role:
4-6 years experience in:
• Python, R, SQL, and data processing frameworks (Spark, Hadoop, etc.)
• ML & Data Engineering pipelines
• Python with Django and Flask, Spark, Big-Data stack - Hive, Kafka & NoSQL's
• ML Frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Statistical Analysis and Fine-Tuning/Hyper-Tuning the models (like Spark-Trails, Optuna)
• Model Lifecycle management in ML Flow and Graph QL
• Feature Engineering
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $88,.00 - $,.00.
CGI’s benefits are offered to eligible professionals on their first day of employment to include:
• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the (k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
•Learning opportunities and tuition assistance
• Wellness and Well-being programs
#LI-GA1
Skills:
1. GraphQL
2. NoSQL
3. Python
4. Banking