Solutions Architect – Data Integration & Analytics

About the role

The Solutions Architect will work cross‑functionally with multiple business units to design, develop, and deliver end‑to‑end data integration and analytics solutions on major cloud platforms. You will own the architecture lifecycle from concept through production, ensuring technical excellence and alignment with business goals.

Key responsibilities

• Lead delivery of Data Integration and Analytics solutions on Azure, AWS, or GCP.
• Create complete solution designs and make critical technology decisions.
• Provide continuous architectural support to development teams across all lifecycle stages (POC, MVP, production).
• Define mid‑ and long‑term application development strategies and reusable frameworks.
• Identify and mitigate project risks, and support pre‑sales and staffing activities.
• Promote AI‑assisted development tools such as GitHub Copilot while ensuring quality, security, and compliance.
• Contribute to internal technology communities by sharing knowledge and best practices.

Required profile

• Minimum 10 years of IT project experience, including at least 4 years as a Solution Architect.
• Deep expertise in at least one cloud platform (Azure, AWS, or GCP).
• Strong background in Data Engineering, Data Integration, and Analytics.
• Experience with Business Intelligence tools (Power BI, Tableau) and data modeling.
• Proven ability to design solutions that incorporate Machine Learning and Generative AI.
• Solid software development foundation and familiarity with CI/CD and Infrastructure‑as‑Code practices.

Required skills

• Azure, AWS, GCP
• Data Integration / Data Engineering
• Analytics and BI (Power BI, Tableau)
• Machine Learning, Generative AI
• CI/CD pipelines
• Infrastructure as Code (IaC)
• GitHub Copilot