Quick overview
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.
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