Solutions Architect – Contract

Stelle nicht auf LinkedIn

🕒 vor 15 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $75 - $90 / Stunde

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Sound Physicians

Sound Physicians

5001 - 10000 Mitarbeiter

Gegründet 2001

🏥 Gesundheitswesen

🤝 B2B

Healthcare • B2B

Sound Physicians ist ein von Ärzten geführtes Gesundheitsdienstleistungsunternehmen, das mit Krankenhäusern und Gesundheitssystemen zusammenarbeitet, um spezialisierte klinische Programme bereitzustellen, darunter Notfallmedizin, Krankenhaushygiene, Intensivmedizin (einschließlich Tele-ICU), Anästhesie und verantwortungsvolle Pflege im Langzeit- und betreuten Wohnen. Das Unternehmen kombiniert klinische Führung, operative Optimierung und Unterstützung im Bereich des Revenue-Cycle, um die Patientenversorgung zu verbessern, Krankenhausabläufe zu stabilisieren und die finanzielle Leistung durch maßgeschneiderte, vor Ort und virtuelle Versorgungsmodelle zu maximieren.

Beschreibung

• Design and architect end-to-end data integration solutions spanning Snowflake, Microsoft Fabric, Azure services, and downstream reporting surfaces • Develop and maintain scalable, reusable, observable integration architecture aligned with data governance standards • Translate business and analytical requirements into technical specifications, data flow diagrams, and implementation plans • Define integration patterns, naming conventions, branching strategies, and deployment standards • Evaluate Azure-native PaaS, Snowflake features, and Fabric capabilities and recommend solutions • Build, configure, and maintain data pipelines and orchestration workflows across Snowflake, Microsoft Fabric, Azure Blob Storage, and enterprise systems • Develop and maintain Azure Logic Apps, Azure Data Factory pipelines, and equivalent automation • Implement infrastructure as code and pipeline as code using Azure DevOps, Git, Bicep, ARM, or equivalent tools • Manage CI/CD pipelines for Snowflake objects, Fabric datasets, Power BI reports, and Azure integration resources • Design and implement data models, transformations, and quality checks in Snowflake and Fabric • Develop reusable Python or PowerShell automation scripts and utilities • Partner with data and analytics teams to deliver Power BI and Fabric dashboards for clinical and operational users • Optimize data models and dataset refresh strategies for dashboard performance and infrastructure cost • Troubleshoot data discrepancies, pipeline failures, and dashboard issues • Define and maintain data lineage documentation • Monitor integration pipelines, Snowflake tasks and streams, Fabric data flows, and Azure Logic App runs • Implement alerting, logging, and observability practices • Investigate and resolve integration-stack issues, documenting root causes and resolutions • Provide Tier 2/3 escalation support for data platform issues • Ensure integration patterns and data flows comply with HIPAA and organizational security standards • Collaborate with application development teams on data integration needs • Own and maintain Git repositories for data platform assets • Enforce branching strategies, pull request reviews, and deployment gates in Azure DevOps • Maintain architecture documentation, runbooks, pipeline diagrams, and operational procedures • Apply platform updates, SDK upgrades, and dependency patches • Conduct cost and performance reviews for capacity planning and cloud spend optimization

🎯 Anforderungen

• Bachelor of Science degree with a technical major such as Computer Science, Information Systems, Data Engineering, or equivalent • Minimum 5 years of experience in solutions architecture, data engineering, or cloud platform engineering roles • Demonstrated experience building and operating production integration pipelines • Excellent written and oral communication skills • Snowflake experience, including data modeling, tasks, streams, dynamic tables, Snowpark, cost governance, and cross-platform integration • Microsoft Fabric experience, including Lakehouses, Warehouses, Pipelines, Dataflows Gen2, Semantic Models, and capacity operations • Power BI experience, including data modeling, DAX, DirectQuery/Import optimization, deployment pipelines, and gateway management • Azure Integration Services experience with Logic Apps, Azure Data Factory, API Management, Event Grid, and Service Bus • Azure DevOps experience with YAML Pipelines, Repos, Boards, and release gate configuration • Working knowledge of Salesforce Data 360 and Salesforce Data APIs • Infrastructure-as-code and automation experience using Bicep, ARM, PowerShell, Python, or equivalent scripting and CI/CD tooling • Git source control experience, including branching strategies, pull request workflows, and repository governance • Microsoft Azure IaaS/PaaS knowledge, including Virtual Networks, Azure Storage, Azure Functions, Log Analytics, and Azure Monitor • Microsoft Entra ID knowledge, including service principals, managed identities, conditional access, and app registrations • Experience supporting 1,000+ user data environments across multiple business domains • Working knowledge of Agile/Scrum or similar delivery frameworks • Experience translating ambiguous business requirements into actionable technical specifications • Ability to communicate technical concepts, data flow logic, and platform recommendations to technical and non-technical audiences • Microsoft Certified: Azure Data Engineer Associate — Preferred • Microsoft Certified: Fabric Analytics Engineer Associate — Preferred • Ability to work evenings or weekends occasionally, sometimes with limited advanced notice • Must be able to sit at a desk and work on a computer for extended periods with breaks

🏖️ Vorteile

• Remote-first culture and remote work arrangement • Opportunity to grow your career while making a real impact • Inclusive, innovative, and excellence-focused team culture • Possibility to extend the contract beyond December 2026 • Equal employment opportunity and commitment to diversity, equity, and inclusion • Travel of 0–4 trips per year

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