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Azure Data & AI Architect

Posted 2024-10-26

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💎 Seniority level: Senior, At least 7 years

📍 Location: United States

🏢 Company: Coretek Services

🗣️ Languages: English

⏳ Experience: At least 7 years

🪄 Skills: LeadershipPythonSQLETLMachine LearningAzurePostgresCommunication Skills

Requirements:
  • At least 7 years of experience in a technical environment, with a minimum of 3 years in Azure solution development.
  • Expertise in architecting and implementing Azure data technologies including Microsoft Fabric, Power BI, Azure Synapse, Azure SQL/Cosmos DB/Postgres, and Azure Databricks.
  • Knowledge in AI technologies including Azure AI Services and OpenAI models.
  • Skills in Python programming and experience in designing Data and AI solutions.
  • Advanced knowledge of data management concepts like ETL processes, data warehousing, and data lake design.
  • Excellent communication skills to articulate technical concepts to diverse audiences.
  • Exceptional analytical and problem-solving skills with a track record in developing AI solutions.
  • Strong customer-focused consulting experience in a technical environment.
  • Familiarity with Azure networking, security requirements, Machine Learning Studio, and Cognitive Services.
  • Proven ability to manage multiple projects to deliver high-quality results on time.
Responsibilities:
  • Lead the development of Data and AI strategies and roadmaps, aligning technology solutions with business goals.
  • Design and architect advanced Azure solutions integrating various Data and AI technologies.
  • Provide technical leadership to engineering teams ensuring best practices in solution development.
  • Oversee integration of Data and AI solutions with existing systems ensuring seamless interoperability.
  • Design data architectures supporting AI solutions, ensuring data quality and security.
  • Collaborate with Project Managers to manage projects from inception to completion.
  • Mentor and coach team members fostering a culture of continuous learning and innovation.
  • Collaborate with peers to implement Azure solutions meeting defined customer objectives.
  • Assist in the development or improvement of deployment solution architecture and standards.
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