Senior Data & AI Solutions Architect Fabric Presales

SHI; Raleigh (NC); On-site; USD 128,000 - 250,000; Full time

Job summary

SHI International Corp. seeks a Senior Data & AI Solutions Architect to lead the design of data platforms using Microsoft Fabric, acting as the Solution Orchestrator for enterprise projects and guiding architecture, integration, and modernization efforts across environments.

You will collaborate with sales to scope opportunities, craft proposals, and deliver demonstrations, while coordinating with Data Governance, AI, and DevOps teams to ensure scalable, compliant data engineering and real-time

Qualifications

• 10+ years of experience in data architecture and engineering.
• Hands-on experience with Microsoft Fabric and Azure data services.
• Proven track record designing large-scale data solutions.
• Strong presales experience focused on data architecture.

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.

Skills

Microsoft Fabric

Azure data services

Presales experience

Data architecture

Data engineering

Communication skills

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Tools

Azure Synapse Analytics

Azure Data Lake Storage

Azure Databricks

Azure SQL Database

Azure DevOps

Infrastructure as Code

Microsoft Purview

Job description

SHI International Corp. seeks a Senior Data & AI Solutions Architect to lead the design of data platforms using Microsoft Fabric, acting as the Solution Orchestrator for enterprise projects and guiding architecture, integration, and modernization efforts across environments.

You will collaborate with sales to scope opportunities, craft proposals, and deliver demonstrations, while coordinating with Data Governance, AI, and DevOps teams to ensure scalable, compliant data engineering and real-time