Build Modern Data Platforms That Drive Business Outcomes

At Quisitive, we help organizations turn data into a strategic asset. As a Data Solutions Architect, you will lead the design and delivery of modern analytics solutions using Microsoft Fabric, Azure Data Services, Power BI, Microsoft Purview, and Databricks. You will partner with clients and delivery teams to architect scalable, secure data platforms that improve reporting, analytics, automation, and AI readiness.

This is a client-facing leadership role where you will guide organizations through discovery, solution design, architecture, estimation, and delivery while serving as the technical lead for data and analytics engagements.

What You'll Do

Lead Architecture & Solution Design

• Own the technical architecture and solution direction for client engagements.
• Design Microsoft Fabric, Azure, Databricks, and hybrid analytics platforms aligned with business goals, scalability, governance, and cost requirements.
• Architect data integration, Lakehouse, data warehouse, semantic modeling, Power BI, and self-service analytics solutions.
• Design modern data models and analytics architectures using PySpark, SQL, and Fabric-native services.
• Lead technical decision-making, architecture reviews, and risk management throughout project delivery.

Partner with Clients

• Lead discovery sessions, architecture workshops, and solution design discussions.
• Translate business requirements into practical, scalable technical solutions.
• Develop architecture recommendations, effort estimates, staffing recommendations, and delivery approaches.
• Present technical strategies, tradeoffs, costs, and recommendations to business, technical, and executive stakeholders.
• Help clients define data and analytics roadmaps that support long-term business objectives.

Build Trusted Data Foundations

• Architect secure, governed data platforms that support reporting, analytics, automation, and AI initiatives.
• Design solutions using Microsoft Fabric, Power BI, Databricks, Azure Data Services, and Microsoft Purview.
• Establish approaches for data quality, source control, CI/CD, automated testing, deployment, monitoring, cost management, and operational readiness.
• Define governance capabilities including data cataloging, lineage, metadata management, classification, and data stewardship.
• Optimize solutions for performance, scalability, reliability, and cost efficiency.

Enable AI & Innovation