Data & AI Presales Consultant

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

The role

We are seeking a highly skilled and experienced Solution Architect – Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

Responsibilities

• Solution Design : Collaborate with cross‑functional teams to gather requirements, design end‑to‑end data analytics solutions, and create architectural diagrams and documentation.
• AWS Expertise : Leverage extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, 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 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 best practices to protect sensitive data and ensure compliance with industry standards and regulations.
• Troubleshooting and Optimization : Identify and resolve performance bottlenecks, data quality issues, and other challenges during implementation and operation.
• Collaboration : Work closely with data engineers, data scientists, business analysts, and stakeholders 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.

Qualifications

Job Function

Sales

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