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1 день назад

Sr. Data Solution Architect (AI)

155 000 - 160 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Data Solution Architect (AI): Designing and advancing enterprise data and artificial intelligence architectures for scalable, secure, business-driven solutions with an accent on cloud platforms, modern data platforms, enterprise integration, and AI governance. Focus on designing data ingestion, transformation, analytics, machine learning, generative AI, and self-serve analytics architectures while validating solutions hands-on and guiding complex enterprise technology initiatives.

Location: Remote - US

Salary: $155,000–$160,000 USD annually

Company

Owens & Minor is a global healthcare solutions company providing essential products, services, and technology solutions to hospitals, health systems, research centers, and healthcare partners in 80 countries.

What you will do

  • Design end-to-end enterprise data and AI solution architectures covering ingestion, transformation, storage, analytics, machine learning, and generative AI.
  • Define scalable, reusable architecture standards and lead technical evaluations for data, AI, cloud, and integration technologies.
  • Develop prototypes, proofs of concept, and reference implementations while performing architecture validation, solution reviews, and technical troubleshooting.
  • Partner with engineering, application, security, infrastructure, analytics, and business stakeholders to solve complex technical challenges and deliver production-ready solutions.
  • Establish governance for privacy, security, compliance, data lineage, metadata, model governance, and AI transparency.
  • Prepare executive-level architecture presentations, roadmaps, risk assessments, trade-offs, and investment recommendations.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field; an equivalent combination of education and experience may be considered.
  • 10+ years of experience in data architecture, enterprise architecture, analytics platforms, or software engineering, including 3+ years designing AI, machine learning, or advanced analytics solutions.
  • Experience defining Enterprise AI strategies and governance programs, working with generative AI, LLMs, RAG architectures, AI agents, and AI orchestration frameworks.
  • Demonstrated success leading complex enterprise technology initiatives, working across multiple business functions and stakeholder groups, and leading large-scale cloud transformation initiatives.
  • Experience with cloud-native architecture and modern data platforms, with Azure preferred.
  • Required skills include data architecture and modeling, data warehousing and lakehouse architecture, data integration and ETL/ELT architecture, Snowflake, Microsoft Fabric, semantic model creation, MLOps and AI governance platforms, Power BI, master data management, API and event-driven architectures, data governance and metadata management, Python, DevOps and CI/CD, Informatica IDMC, SQL, data engineering concepts, enterprise solution architecture, and AI and machine learning fundamentals.
  • Hands-on experience with at least one of Claude Enterprise, OpenAI/Azure OpenAI, or Cortex.

Nice to have

  • Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field.
  • Experience in healthcare, medical distribution, supply chain, logistics, manufacturing, technology, data and analytics, artificial intelligence, or digital transformation.
  • 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 certification.
  • Experience with Databricks, vector databases, semantic search, RAG architecture design, or knowledge graphs.

Culture & Benefits

  • Full-time remote work in the United States.
  • Medical, dental, and vision plans beginning on the first day of employment.
  • Educational assistance, employer-paid life insurance and disability coverage, supplemental insurance programs, HSA, and 401(k).
  • Paid sick days, holidays, vacation, personal days, parental leave, adoption assistance, and fertility benefits.
  • Teammate Assistance Program, Calm Health, cancer resources, and discount programs at no cost.

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