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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
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Top Skills:
APIsAzure Data FactoryAzure Data Lake StorageAzure DevopsBusinessobjectsCi/CdDatabricksEltETLInformaticaLinuxAzurePower BIPythonSASSnowflakeSQLTableauTeradataUnix
Artificial Intelligence • Information Technology • Software • Consulting
Define and lead enterprise data-platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling and lifecycle management while partnering with engineering, analytics, machine learning, and business teams. Lead complex data-platform initiatives, implement governance and lineage capabilities, and guide scalable cloud architecture, security, networking, and cost optimization.
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Amazon RedshiftAWSAzureBigQueryCloud PlatformsCubeData CatalogsData GovernanceData LineageData ModelingDatabricksDbt Semantic LayerFlinkGCPIdentity ManagementKafkaLakehouse ArchitectureLookmlNetworkingSnowflakeSpark
Big Data • Hardware • Security • Software • Cybersecurity • Defense • Big Data Analytics
Performs structured data analysis under senior guidance to solve customer problems, identify patterns and anomalies, test hypotheses, and develop reusable data science components. Collaborates with engineering, mission operations, solution delivery, and customers to scope requirements, improve processes, and translate analytical findings into actionable business decisions. The role requires strong communication, coachability, analytical coding ability, and willingness to travel up to 50%.
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Lead the architecture and delivery of modern data and analytics platforms for clients. Design governed, secure solutions using Microsoft Fabric, Azure, Databricks, Power BI, and Purview. Translate business needs into scalable architectures, estimates, roadmaps, and delivery plans. Guide architecture reviews, governance, CI/CD, testing, monitoring, and operational readiness while enabling AI, Copilot, RAG, and intelligent application initiatives. Serve as the technical lead and trusted advisor for client engagements.
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 DoLead 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.
- 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.
- 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.
- Design data foundations that support Microsoft Copilot, AI agents, natural-language interfaces, RAG solutions, and intelligent business applications.
- Evaluate emerging technologies and AI capabilities when they provide measurable business value.
- Use tools such as GitHub Copilot, Claude, and other AI-assisted technologies to improve architecture, documentation, estimation, testing, analysis, and delivery quality.
- 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.
- Strong communication and stakeholder management skills, with demonstrated accountability for the technical success of client engagements.
- 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.
- Familiarity with Azure infrastructure, networking, security, private connectivity, and related architecture concepts.
- Experience working in consulting or professional services.
- Microsoft Certified: Azure Solutions Architect Expert.
- Relevant Microsoft Fabric, Power BI, or Microsoft Purview certifications.
- Experience modernizing legacy data and reporting solutions into Fabric, Azure-native, Databricks, or hybrid architectures.
- Industry experience in Manufacturing, Financial Services, Healthcare & Life Sciences, or State, Local Government & Education (SLED/GCC).
At Quisitive, you will work alongside experienced Microsoft consultants to help clients solve complex business challenges through data, analytics, cloud, and AI technologies. We invest in continuous learning, collaboration, and technical excellence, giving you the opportunity to grow your expertise while making a meaningful impact for our clients.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
