Architect – Azure Data, AI

🔥 40 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Coretek

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Coretek is a nationally recognized Microsoft Azure Expert Managed Service Provider (MSP) and the number one Microsoft Cloud Solution Provider in the United States. The company specializes in providing cloud solutions, security services, and AI-driven innovations to a wide range of industries, including government, healthcare, manufacturing, and financial services. Coretek offers a variety of services such as cloud migration, app modernization, DevOps automation, and workspace management. They are known for their comprehensive security solutions, leveraging platforms like Palo Alto and Dynatrace, and their partnerships with companies like Imprivata and Citrix. Coretek's expertise extends to Azure OpenAI services, making them a leader in delivering innovative AI and machine learning solutions. Their commitment to technology excellence has earned them a spot on the Inc. 5000 list of fastest-growing private companies and recognition as a Microsoft Partner of the Year finalist.

📋 Description

• Lead the development of Data and AI strategies and roadmaps aligned with business goals • Design and architect advanced Azure solutions integrating Microsoft Fabric, Azure Synapse Analytics, Databricks, Azure SQL, Cosmos DB, Postgres, and AI technologies • Provide technical guidance and mentorship to engineering teams • Oversee integration of Data and AI solutions with existing enterprise systems and processes • Design and implement enterprise data architectures supporting AI solutions, data quality, governance, and security • Architect solutions using Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services • Partner with Project Managers and stakeholders to manage complex projects from inception to completion • Mentor and coach team members and foster continuous learning and technical excellence • Develop deployment architectures, solution standards, and technical frameworks • Act as a trusted technical advisor to clients through executive workshops, solution presentations, and consensus-building

🎯 Requirements

• 7+ years of experience in technical environments, with a minimum of 3 years in Azure solution architecture and design • Expertise in architecting and implementing Azure data technologies including Microsoft Fabric, Power BI, Azure Synapse Analytics, Databricks, and Azure database systems (SQL, Cosmos DB, Postgres) • Deep knowledge of Azure AI Services, Azure OpenAI, Azure Machine Learning Studio, and Cognitive Services • Strong programming skills in Python and experience designing and implementing production-grade Data and AI solutions • Advanced knowledge of ETL/ELT processes, data warehousing, data lake architecture, and real-time streaming • Experience with Azure DevOps, GitHub Actions, Bicep, and Terraform for CI/CD and automation • Strong understanding of Azure networking, security, identity management, RBAC, and compliance requirements • Excellent communication and presentation skills for technical and non-technical audiences, including C-level executives • Exceptional analytical and problem-solving skills • Strong consultative skills and demonstrated experience partnering with clients in technical advisory roles • Bachelor's degree in Computer Science, Data Science, Engineering, or related field • Experience with event-driven architectures using Azure Event Hub, Service Bus, or Kafka • Expertise in distributed computing and performance optimization in Databricks/Spark environments • Experience with MLOps practices and operationalizing machine learning models at scale • Ability to manage multiple complex projects and consistently deliver high-quality results • Azure certifications such as AZ-305, DP-203, or AI-102

🏖️ Benefits

• Direct access to Microsoft's latest innovations and technical resources as a Microsoft Azure Expert Partner • Advanced certification opportunities • Conference speaking opportunities • Thought leadership initiatives • Mentorship and technical leadership opportunities • Supportive, collaborative, client-first environment • Opportunity to work alongside top-tier architects and consultants