Solution Architect Presales

Overview

SoftwareOne is a leading global software and cloud solutions provider that is redefining how organizations build, buy, and manage 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 9,200 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in ninety countries.

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

• Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.
• Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, and Azure OpenAI to architect robust 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 best practices to protect sensitive data and ensure compliance with industry standards and regulations.
• Solution 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 and AI capabilities.

• Demonstrable experience (5+ years) as a Solution Architect or similar role, with a focus on data analytics and Azure cloud technologies.
• Extensive hands-on experience with Azure services such as AI Foundry, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, Azure OpenAI, and Power BI.
• 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.

• Bachelor’s or associate degree in IT or related subject area.
• Certification in Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate, and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.

• 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, specifications, and other user documentation.
• Package and support deployment releases.
• Assist in the collection and documentation of user requirements, development of user stories, and estimates.