Senior Data & AI Solutions Architect — Presales (Microsoft Fabric)

SHI; Frankfort (KY); Remote; USD 128,000 - 176,000; Full time

Benefits offered by this job

Diversity commitment

Professional growth

Health and wellness benefits

Flexible work arrangements

Job summary

SHI is seeking a Senior Data & AI Solutions Architect to lead design of data solutions with Microsoft Fabric. You will orchestrate data platforms, collaborate with clients, and guide architecture, engineering, and modernization efforts.

The role emphasizes presales leadership, crafting proposals, and ensuring alignment with business goals, using Fabric's OneLake, Data Factory, Spark, and lake/warehousing capabilities.

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 with sales teams to gather requirements.
• Lead discovery sessions and technical workshops.
• Create technical proposals, roadmaps, and cost estimates.
• Lead SOWs and align delivery with client objectives.
• Drive revenue growth within the professional services team.
• Architect end-to-end data solutions using Fabric and Azure.

Skills

Microsoft Fabric

Azure Synapse

Azure Data Factory

Data modeling

ETL/ELT

Real-time analytics

Presales

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Azure Certifications (AZ-305, DP-203, DA-100/DA-200, DP-300)

Tools

Azure DevOps

Purview

OneLake

Azure Synapse Analytics

Job description

SHI is seeking a Senior Data & AI Solutions Architect to lead design of data solutions with Microsoft Fabric. You will orchestrate data platforms, collaborate with clients, and guide architecture, engineering, and modernization efforts.

The role emphasizes presales leadership, crafting proposals, and ensuring alignment with business goals, using Fabric's OneLake, Data Factory, Spark, and lake/warehousing capabilities.