Overview:
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
Responsibilities:
The role:
* Collaborate with stakeholders to understand Client's business objectives and requirements, and translate them into data and AI solution designs.
* Design and architect end-to-end data pipelines, including data ingestion, storage, processing, and visualization components.
* Work closely with data architect and data engineers to ensure the reliability, scalability, and performance of data and AI solutions.
* Evaluate and recommend appropriate technologies, tools, and frameworks to support data and AI initiatives for potential clients.
* Provide technical guidance and mentorship to clients on data architecture and AI best practices.
* Collaborate with cross-functional teams, including software developers, business analysts, and project managers, to ensure successful delivery of data and AI projects.
* Stay updated on the latest trends and advancements in data science, machine learning, and artificial intelligence, and assess their potential impact on our solutions and services.
* Communicate effectively with stakeholders, including presenting technical concepts and solution designs to non-technical audiences.
Qualifications:
What do we expect from you?
* Bachelor's degree in Computer Science, Software Engineering, or related field.
* Minimum of 5 years of proven experience.
* At least 3 years of experience working in software development within cloud platforms and minimum 2 years of experience working in Pre-sales architecture.
* Proficiency in designing architectures focused on APIs and application integration.
* Experience in defining architectures within Azure, leveraging Azure Data Services such as Azure analysis services, Azure SQL, Azure Data Factory, Azure Databricks, Fabric, and Power BI Services.
* Expertise in designing and implementing Data Warehouses, Datamarts, and Datalakes.
* In-depth understanding of both relational and non-relational databases.
* Competence in data integration, automation, and monitoring.
* Ability to translate business requirements into scalable and efficient technical solutions.
Behavioral Skills:
* Effective communication skills to interact with clients and team members.
* Strong problem-solving abilities to address complex technical challenges.
* Adaptability to work in a dynamic and fast-paced environment.
* Collaboration skills to work effectively within cross-functional teams.
* Attention to detail to ensure accuracy and quality in architectural designs.
Desirable Qualifications:
* Relevant certifications in Data Science, Machine Learning, or Artificial Intelligence.
* Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
* Advanced knowledge of programming languages such as Python or R.
* Experience with big data technologies like Hadoop, Spark, or Kafka.
* Work experience with containers and basic infrastructure knowledge.
* Proficiency in consuming services from AWS and Azure, including the ability to work with cloud calculators.
* Familiarity with Serverless computing and continuous monitoring of applications.
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