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← Quisitive

Data Solutions Architect

Quisitive
Location
Remote
Posted
16 days ago
Department
Data & AI
What they actually want (must-haves)
  • 8+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, or related disciplines
  • Experience leading architecture and technical delivery for client-facing consulting engagements
  • Experience designing and delivering Microsoft Fabric, Azure Data Services, Databricks, and modern analytics solutions
  • Advanced knowledge of data modeling, dimensional modeling, semantic modeling, Power BI architecture, data integration, modern analytics architecture patterns, and Microsoft Purview
  • Experience designing governed and secure data architectures that support trusted reporting, analytics, automation, and AI-enabled solutions
  • Experience defining delivery approaches that include CI/CD, automated testing, deployment, monitoring, and operational readiness
Nice to have
  • Microsoft Fabric certification or equivalent demonstrated Fabric architecture experience
  • Microsoft Purview experience with data cataloging, lineage, metadata, classification, and governance capabilities
  • AI and agent architecture experience, including data foundations supporting Copilots, natural-language interfaces, RAG solutions, and intelligent applications
  • Experience modernizing Azure Data Factory, Azure Synapse Analytics, or other legacy analytics solutions
  • Data governance, master data management, or enterprise information management experience
What the job really is

As a Data Solutions Architect at Quisitive, you will lead the design and delivery of modern analytics solutions, utilizing technologies such as Microsoft Fabric, Azure Data Services, and Databricks. This client-facing role involves guiding organizations through the architecture and implementation of scalable data platforms, ensuring they meet business goals and improve analytics capabilities. You will also focus on building secure data foundations and enabling AI innovations while collaborating closely with clients and delivery teams.

Things to weigh
  • No salary listed
  • Role involves significant client interaction, which may require travel or flexible hours
  • Focus on modern technologies suggests a forward-looking environment, but may also imply a steep learning curve for those unfamiliar with the stack
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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