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)