Data Solutions Architect

🕒 vor 10 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 10%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

Azure

PySpark

SQL

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Logo of Quisitive

Quisitive

501 - 1000 Mitarbeiter

🏥 Gesundheitswesen

🏭 Fertigung

📦 Logistik

Healthcare • Manufacturing • Logistics

Quisitive ist ein führender Microsoft-Cloud-Partner, der sich auf die Bereitstellung von Integrations- und Beratungsleistungen spezialisiert hat, um Unternehmen dabei zu helfen, mit Microsoft-Cloud-Technologien zu innovieren und zu wachsen. Das Unternehmen hat sich auf Anwendungsentwicklung, Daten- und Analytik, Künstliche Intelligenz, Unternehmensanwendungen, Sicherheit, digitale Arbeitsplatzlösungen und Infrastrukturmanagement spezialisiert. Quisitive unterstützt Organisationen in verschiedenen Sektoren, einschließlich Fertigung, Gesundheitswesen, Bildung, Energie und öffentlichem Sektor, bei der effizienten Navigation und Implementierung cloudbasierter Lösungen. Mit maßgeschneiderten Produkten wie MazikCare für das Gesundheitswesen und ShopFloor für die Fertigung steigert Quisitive die betriebliche Effizienz und treibt die digitale Transformation in den Unternehmen seiner Kunden voran.

Beschreibung

• Lead 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 scalable technical solutions • Develop architecture recommendations, effort estimates, staffing recommendations, and delivery approaches • Present technical strategies, tradeoffs, costs, and recommendations to stakeholders • Help clients define data and analytics roadmaps • Architect secure, governed data platforms for reporting, analytics, automation, and AI initiatives • Establish data quality, source control, CI/CD, automated testing, deployment, monitoring, cost management, and operational readiness approaches • Define governance capabilities including cataloging, lineage, metadata management, classification, and data stewardship • Optimize solutions for performance, scalability, reliability, and cost efficiency • Design data foundations for Copilots, AI agents, natural-language interfaces, RAG solutions, and intelligent business applications • Evaluate emerging technologies and AI capabilities for measurable business value • Use AI-assisted tools to improve architecture, documentation, estimation, testing, analysis, and delivery quality

🎯 Anforderungen

• 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 supporting trusted reporting, analytics, automation, and AI-enabled solutions • Experience defining delivery approaches including CI/CD, automated testing, deployment, monitoring, and operational readiness • Strong communication and stakeholder management skills, with accountability for technical success of client engagements • Preferred: Microsoft Fabric certification or equivalent Fabric architecture experience • Preferred: Microsoft Purview experience with data cataloging, lineage, metadata, classification, and governance • Preferred: AI and agent architecture experience, including Copilots, natural-language interfaces, RAG solutions, and intelligent applications • Preferred: Experience modernizing Azure Data Factory, Azure Synapse Analytics, or other legacy analytics solutions • Preferred: Data governance, master data management, or enterprise information management experience • Preferred: Familiarity with Azure infrastructure, networking, security, private connectivity, and related architecture concepts • Preferred: Experience working in consulting or professional services • Additional differentiators include Microsoft Certified: Azure Solutions Architect Expert; relevant Microsoft Fabric, Power BI, or Microsoft Purview certifications; legacy data and reporting modernization experience; and industry experience in Manufacturing, Financial Services, Healthcare & Life Sciences, or SLED/GCC

🏖️ Vorteile

• Continuous learning opportunities • Collaboration with experienced Microsoft consultants • Opportunity to grow technical expertise • Opportunity to make a meaningful impact for clients

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