Responsibilities: 

• Presales Engagement 

• Collaborate with sales teams to understand client requirements, goals, and pain points. 

• Design and present tailored solution solutions, addressing business and technical needs. 

• Lead discovery sessions, technical workshops, and assessments to evaluate current environments and identify opportunities for modernization. 

• Create comprehensive technical proposals, including solution architecture, implementation roadmaps, and cost estimates. 

• Lead the development of SOWs, working closely with cross-functional teams to ensure alignment with client needs and business objectives. 

• Drive revenue growth within the professional services team by identifying new opportunities and optimizing service offerings. 

• Microsoft Fabric Expertise: 

• Design and architect end-to-end data solutions using Microsoft Fabric, encompassing OneLake, Data Factory, Spark, data warehousing, and real-time analytics. 

• Act as the subject matter expert on Microsoft Fabric, providing expert guidance and technical leadership to the presales team. 

• Implement best practices for OneLake architecture, data pipeline design, and data warehousing within the Fabric ecosystem. 

• Data Architecture & Engineering: 

• Lead the design of data ingestion, transformation, and storage solutions on Azure. 

• Develop ETL/ELT processes and data pipeline architectures. 

• Design data warehousing and data lake solutions. 

• Design real-time data streaming and processing architectures using Azure Event Hubs and Azure Stream Analytics. 

• Utilize Azure DevOps for data engineering CI/CD and infrastructure as code. 

• Advise on performance tuning and optimization techniques for Azure data systems. 

• Synergistic Collaboration: 

• Collaborate closely with the Data Governance Architect to ensure data pipelines adhere to governance policies and best practices within Fabric. 

• Work with the AI Architect to provide robust and scalable data infrastructure for AI/ML workloads and LLM based applications. 

• Utilize Purview to improve data engineering workflows. 

• Client Engagement: 

• Conduct in-depth client discovery sessions to understand their data challenges and business objectives. 

• Develop and present compelling technical proposals, demonstrations, and proof-of-concepts that showcase the value of Microsoft Fabric and our data solutions. 

• Act as a trusted advisor to clients, providing expert guidance and technical leadership. 

Qualifications: 

• Experience: 

• Minimum 10+ years of experience in data architecture and engineering. 

• Extensive hands-on experience with Microsoft Fabric and Azure data services. 

• Proven track record of designing and implementing large-scale data solutions. 

• Strong presales experience, with a focus on data architecture and engineering. 

• Technical Skills: 

• Expertise in Microsoft Fabric (OneLake, Data Factory, Spark, data warehousing, real-time analytics). 

• Proficiency in Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, and Azure SQL Database. 

• Strong understanding of data modeling, ETL/ELT processes, and data pipeline design. 

• Experience with real-time data streaming and processing. 

• Proficiency in Azure DevOps and infrastructure as code. 

• Understanding of Microsoft Purview. 

• Soft Skills: 

• Excellent communication and presentation skills. 

• Strong problem-solving and analytical skills. 

• Ability to work independently and as part of a collaborative team.    

• Strong client relationship management skills.    

​Education: 

• Bachelor's degree in computer science, information systems, or a related field; Master's degree preferred. 

• Preferred Microsoft Certifications: 

• Azure Solutions Architect Expert (AZ-305) 

• Azure Data Engineer Associate (DP-203) 

• Azure Data Analyst Associate (DA-100/DA-200) 

• Azure Database Administrator Associate (DP-300)