Job description

What you'll be doing: - Partner with the sales team to understand customer requirements and propose Microsoft Azure-based data analytics and infrastructure solutions. - Design, architect, and present tailored solutions using Microsoft Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Azure Databricks. - Lead client-facing technical discussions, demonstrations, and proof of concept (POC) sessions to showcase Azure’s capabilities in data analytics, AI, and cloud infrastructure. - Provide expert advice on Azure architecture, scalability, security, data governance, and cost optimization. - Respond to RFIs/RFPs by creating technical proposals that outline solutions built on the Azure platform. - Collaborate with product and engineering teams to develop new offerings and refine existing ones to meet market demands. - Conduct technical workshops, webinars, and presentations to educate clients and internal teams about Azure services and best practices. - Stay current on Azure’s evolving technology stack, trends in data analytics, and industry best practices. - Support the transition of projects from pre-sales to post-sales teams, ensuring the delivery of solutions meets client expectations. - Work Directly with Azure Sales organization to grow Microsoft Field Sales relationships What skills you will bring: - Bachelor’s degree in computer science, Information Technology, Data Science, or a related field. - 5+ years of experience in cloud solution architecture, pre-sales engineering, or data analytics with a focus on Microsoft Azure. - Proven track record of designing and delivering Microsoft Azure data and infrastructure solutions in a pre-sales environment. - Previous Azure Delivery experience working with multi-disciplinary teams - Expertise in Microsoft Azure services: - Data and Analytics: Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, Power BI. - Infrastructure: Azure Application Delivery Services (VM, AKS, App Service etc.) Networking (Firewalling, WAF, Front Door and multi-tier application routing) Security/Monitoring (Azure Monitor, Log Analytics, App Insights etc.) - Proficiency in cloud architecture design and implementation, including high-availability, scalability, and disaster recovery in Azure. - Strong understanding of data pipelines, ETL processes, and data warehousing principles on Azure. - Familiarity with data governance, security, and compliance within cloud environments (e.g., GDPR, HIPAA). - Experience in cloud cost management and optimization techniques. - Hands-on knowledge of scripting and automation tools (Bicep, Terraform, Ansible, AzCLI). - Data Warehouse Migration from On-Premises hardware and server based DW (Netezza, Exadata, SQL, Mongo etc.) - Nice to have: Experience with AI and machine learning tools on Azure (e.g., Azure Machine Learning, Cognitive Services). - Excellent communication and presentation skills, with the ability to translate technical concepts into business value for non-technical stakeholders. - Strong analytical and problem-solving abilities with a customer-centric approach. - Ability to manage multiple projects simultaneously in a fast-paced environment. - Strong interpersonal skills and the ability to work effectively in a team-oriented, collaborative environment. Preferred, not required - Microsoft Azure Certifications: Azure Solutions Architect Expert, Azure Data Engineer, Azure DevOps Engineer - Experience integrating Azure solutions with ERP systems (e.g., Dynamics 365, SAP) or other third-party applications. - Previous experience working with large enterprise customers and handling complex sales cycles.

Requirements