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 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 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 We are seeking a highly skilled and experienced Solution Architect – Data Analytics & AI to join our team and play a crucial role in designing and implementing data analytics & AI solutions on the Amazon Web Services (AWS) or Microsoft Azure platform. The ideal candidate will have a deep understanding of data analytics technologies, Microsoft / Azure Services, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges. Solution Design: Collaborate with multi-functional teams to gather requirements, design end-to-end data analytics solutions, and create architectural diagrams and documentation. Cloud Expertise:Leverage your extensive knowledge of AWS / Azure services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, Azure ML, Cognitive Services, Spark, Data Lake, Azure Synapse, Fabric, OpenAI, etc and others to architect robust data analytics platforms. Data Modeling:Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance. Scalability and Performance:Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency. Data Integration:Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality. Security and Compliance:Implement security measures and standard processes to protect sensitive data and ensure compliance with industry standards and regulations. Solve and Optimization:Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation. Collaboration:Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance. Innovation:Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data analytics capabilities. What we need to see from you Demonstrable experience (3+ years) as a Solution Architect or similar role, with a focus on data analytics and AWS cloud technologies. Extensive hands-on experience with AWS / Azure services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue or AWS quick sight, AWS Bedrock, Azure ML, Cognitive Services, Spark, Data Lake, Azure Synapse, Fabric, Power BI, OpenAI, and other platform like Snowflake & Databrick Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles. Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation. Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges. Good communication skills to effectively collaborate with technical and non-technical teams. Experience in working with Agile methodologies and version control systems. Demonstrable ability to work independently and manage multiple priorities effectively. Education and Certification Bachelors or associate degree in IT subject area Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialtyare must or AWS Certified Professional or Associate. Certification in Azure Certified : Solution Architect Expert, Azure AI Engineer, Data Analyst and Data Engineer What we need to see from you Report to practice lead. Pre-sales experience. Work within project team to develop and test data analytics platform and model. Design, develop, and unit test in accordance with established standards. Assist project team in analyzing and resolving technical issues. Assist in preparing manuals, specification, and other user documentations. Package and support deployment releases. Assisting in the collection and documentation of user's requirements, development of user stories, and estimates. Job Function Software & Cloud