Fabric Solutions Architect - Presales & Data Eng

SHI

Concord (NH)

Hybrid

USD 128,000 - 176,000

Full time

12 days ago
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Benefits offered by this job

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Job summary

SHI International Corp. is seeking a Senior Data & AI Solutions Architect to lead design of data platforms using Microsoft Fabric. You will act as the Solution Orchestrator for data-centric projects, driving architecture and engineering of scalable Azure-based solutions for enterprise clients.

You will collaborate with presales, deliver proposals, roadmaps, and SOWs, and guide data ingestion, ETL/ELT, warehousing, and real-time analytics across Fabric and Azure services.

Qualifications

  • 10+ years of experience in data architecture and engineering.
  • Hands-on with Microsoft Fabric and Azure data services.
  • Strong presales experience focused on data architecture and engineering.

Responsibilities

  • Presales engagement and collaboration with sales to define client goals.
  • Design and present tailored solutions, roadmaps, and cost estimates.
  • Lead discovery sessions, workshops, and assessments for modernization.
  • Create SOWs and technical proposals aligned with client needs.
  • Drive revenue growth within the professional services team.

Skills

Data architecture
Presales experience
Azure data services
Solution design & architecture
Client engagement

Education

Bachelor's degree in CS or related field
Master's degree preferred

Tools

Microsoft Fabric
Azure Synapse Analytics
Azure Data Lake Storage
Azure Databricks
Azure SQL Database
Azure DevOps

Job description

SHI International Corp. is seeking a Senior Data & AI Solutions Architect to lead design of data platforms using Microsoft Fabric. You will act as the Solution Orchestrator for data-centric projects, driving architecture and engineering of scalable Azure-based solutions for enterprise clients.

You will collaborate with presales, deliver proposals, roadmaps, and SOWs, and guide data ingestion, ETL/ELT, warehousing, and real-time analytics across Fabric and Azure services.

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