Senior Data Solution Architect

🕒 Outubro 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $155.000 - $160.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Owens & Minor

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1882

📦 Logística

💼 Consultoria

🏥 Saúde

💰 Post-IPO Debt em 2022-03

Logistics • Consulting • Healthcare

Owens & Minor é uma empresa global de soluções em saúde que fornece produtos e serviços essenciais para apoiar o cuidado desde o hospital até a casa. A empresa é especializada em logística de saúde, gerenciamento de inventário, soluções de cadeia de suprimentos e prevenção de infecções. Ela oferece soluções logísticas para reduzir custos e eliminar complexidades tanto em ambientes de saúde agudos quanto não agudos. Owens & Minor também atua em consultoria, ajudando a melhorar cadeias de suprimentos de saúde e parcerias. A empresa é dedicada a capacitar provedores de saúde e servir pacientes, fabricantes e comunidades com sua gama de produtos e serviços.

Descrição

• Design end-to-end enterprise data and AI solution architectures • Define architecture patterns for data ingestion, transformation, storage, analytics, machine learning, and generative AI use cases • Establish scalable and reusable architecture standards across platforms and technologies • Lead technical evaluations and recommendations for data, AI, and integration technologies • Contribute to the design and implementation of enterprise data and AI solutions • Develop prototypes, proofs of concept, and reference implementations • Partner with engineering teams to solve complex technical challenges and remove delivery roadblocks • Perform hands-on architecture validation, solution reviews, and technical troubleshooting throughout the software delivery lifecycle • Provide architectural leadership across cloud platforms, data engineering, integration, automation, AI, and DevOps • Maintain hands-on expertise with Snowflake, Azure, Databricks, Microsoft Fabric, AI platforms, and integration frameworks • Provide architectural oversight for strategic initiatives and major technology investments • Lead design reviews and ensure adherence to enterprise architecture standards • Collaborate with engineering teams to translate architectural designs into implementable solutions • Establish architectural governance frameworks for data and AI solutions • Ensure alignment with privacy, security, regulatory, and compliance requirements • Define standards for data lineage, metadata management, model governance, and AI transparency • Identify and mitigate architectural, operational, and cybersecurity risks • Maintain architecture documentation, reference models, and technical standards • Develop executive-level architecture presentations and recommendations • Communicate technical concepts to technical and non-technical audiences • Present architecture roadmaps, risks, trade-offs, and investment recommendations • Provide updates on strategic initiatives, architecture reviews, and innovation opportunities • Create and execute a roadmap for AI-based self-serve analytics • Increase adoption of enterprise data platforms and AI capabilities • Improve consistency and governance across data and analytics ecosystems • Demonstrate measurable business value from AI and advanced analytics initiatives • Reduce architectural complexity through standardization and modernization • Build credibility with engineering teams through technical leadership and direct contribution to solution delivery

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field • Equivalent combination of education and experience may be considered • 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering • 3+ years of experience designing AI, machine learning, or advanced analytics solutions • Experience defining Enterprise AI strategies and governance programs • Experience with Generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks • Demonstrated success leading complex enterprise technology initiatives • Experience working across multiple business functions and stakeholder groups • Experience with cloud-native architecture and modern data platforms • Experience leading large-scale cloud transformation initiatives • Required hands-on experience with data architecture and modeling • Required experience with data warehousing and lakehouse architecture • Required experience with data integration and ETL/ELT architecture • Experience with cloud platforms, with Azure preferred • Experience with Snowflake • Hands-on experience with at least one or more of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex • Experience with Microsoft Fabric • Semantic Model creation • Experience with MLOps and AI governance platforms • Experience with Power BI • Experience with Master Data Management • Experience with API and event-driven architectures • Experience with data governance and metadata management • Python • DevOps and CI/CD • Informatica IDMC • SQL and data engineering concepts • Enterprise solution architecture • AI and machine learning fundamentals • Preferred: Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or related field • Preferred experience in healthcare, distribution, supply chain, or regulated industries • Preferred certifications: Snowflake SnowPro Advanced, Microsoft Azure Solutions Architect Expert, Microsoft Azure AI Engineer Associate, Databricks Data Engineer or Data Architect, AWS Certified Solutions Architect, or TOGAF • Preferred experience with Databricks, vector databases and semantic search, RAG architecture design, and knowledge graphs

🏖️ Benefícios

• Comprehensive healthcare plan including medical, dental, and vision plans starting on day one for full-time teammates • Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program • Employer-paid life insurance and disability coverage • Voluntary supplemental life, hospitalization, critical illness, and other insurance programs • Adoption assistance • Fertility benefits through the medical plan • Parental leave • Health Savings Account (HSA) • 401(k) • Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave • Teammate Assistance Program (TAP) • Calm Health • Cancer Resources Services • Discount programs

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