Why SoftwareOne? SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and handle everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 9,300 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 60 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.softwareone.com/en The role As a Delivery Solution Architect specializing in Data and Artificial Intelligence (AI) with a focus on AWS technologies, you will design and implement robust, scalable, and cutting-edge solutions leveraging the AWS ecosystem. This role involves collaborating with diverse teams, understanding business needs, and delivering end-to-end data and AI solutions. You will play a pivotal role in driving digital transformation and ensuring technical excellence in the projects you support. Solution Design and Architecture: Engage with stakeholders to gather and translate business and technical requirements into AWS-based data and AI solutions. Design end-to-end architectures for data pipelines, analytics platforms, and AI/ML workloads using AWS services. Ensure solutions are scalable, secure, cost-effective, and aligned with AWS best practices. AWS Platform Expertise: Utilize AWS services to build modern data and AI platforms, including but not limited to: Data Lakes: Amazon S3, AWS Lake Formation Data Warehouses: Amazon Redshift Data Processing: AWS Glue, Amazon EMR AI/ML Services: Amazon SageMaker, AWS AI Services (Comprehend, Rekognition, Lex, etc.) Serverless Computing: AWS Lambda, Amazon ECS/Fargate Implement and manage IAM policies, VPC configurations, and other security measures. Technical Leadership: Provide technical direction and mentorship to development teams during project execution. Conduct architectural reviews, ensuring adherence to design principles and performance optimization. Troubleshoot complex technical challenges and guide teams to resolution. Data Engineering and Integration: Design and implement ETL/ELT workflows using AWS Glue, Step Functions, and Lambda. Enable seamless integration of data across diverse sources into data lakes or warehouses. Utilize AWS Data Migration Service (DMS) for on-premises to cloud data migrations. AI/ML Implementation: Lead the development and deployment of machine learning models using Amazon SageMaker. Design pipelines for training, validating, and deploying models in production using MLOps best practices. Leverage AWS AI services for natural language processing, image recognition, and other cognitive tasks. Performance Optimization and Security: Optimize AWS infrastructure for cost-efficiency, high availability, and performance. Implement security best practices, including encryption (KMS), fine-grained IAM roles, and secure API endpoints. Ensure compliance with regulatory requirements like GDPR, HIPAA, and SOC 2 using AWS tools and services. Documentation and Collaboration: Create detailed technical documentation, including architectural diagrams and workflows. Act as a bridge between technical teams and business stakeholders, ensuring alignment on objectives. What we need to see from you Proven experience (5+ years) as a Solution Architect in data and AI projects using AWS technologies. Deep understanding of AWS data services, such as S3, Redshift, Glue, EMR, and Athena. Strong knowledge of AI/ML services like SageMaker, Rekognition, Comprehend, and Lex. Expertise in serverless computing (Lambda, Step Functions) and containerization (ECS, EKS). Proficiency in Python, SQL, and other programming languages for data processing and AI/ML workflows. Hands-on experience with AWS security best practices, including IAM, KMS, and VPC. Exceptional problem-solving and analytical skills. Strong verbal and written communication, capable of explaining technical concepts to non-technical stakeholders. Leadership and mentoring skills to guide teams towards successful project delivery. Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields. Relevant certifications such as: AWS Certified Solutions Architect (Associate/Professional) AWS Certified Data Analytics – Specialty AWS Certified Machine Learning – Specialty Partner with delivery leads to ensure projects meet client expectations and technical standards. Continuously explore advancements in AWS technologies to propose innovative solutions. Provide thought leadership and technical direction across data and AI initiatives. Drive pre-sales discussions to define solution strategies and showcase AWS capabilities. Address project challenges proactively and ensure deliverables are of the highest quality. This role is ideal for an AWS expert passionate about leveraging cloud technologies to deliver transformative data and AI solutions. Job Function Software & Cloud