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 modernise their workloads and applications – and in parallel, to navigate and optimise 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
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 your 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 optimise 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 such as 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 that may arise 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.
What we need to see from you
The ideal candidate will have deep expertise in data analytics, Generative AI, and AI/ML services. They should also have a proven track record of designing and deploying scalable, efficient data and AI‑driven solutions that address complex business challenges using cloud‑native architectures.
Proven 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 services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue or AWS QuickSight, etc.
Strong understanding of data modelling, 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.
Strong communication skills to effectively collaborate with technical and non‑technical teams.
Experience in working with Agile methodologies and version control systems.
Proven ability to work independently and manage multiple priorities effectively.
Education and Certification
Bachelors or associate degree in IT discipline.
Certification in AWS Certified: Solution Architect and AWS Certified: Data Analytics Specialty are must or AWS Certified Professional or Associate .
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 analysing and resolving technical issues.
Assist in preparing manuals, specification, and other technical documentations.
Package and support deployment releases.
Assisting in the collection and documentation of user’s requirements, development of user stories, and estimates.
Job Function
Sales
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