Azure Data & AI Architect

Responsibilities:

• Lead the development of Data and AI strategies and roadmaps, aligning technology solutions with business goals and objectives.
• Design and architect advanced Azure solutions, integrating various Data and AI technologies to meet complex project requirements and drive innovation.
• Provide technical leadership and guidance to engineering teams, ensuring best practices in Data and AI solution development and deployment.
• Oversee the integration of Data and AI solutions with existing systems and processes, ensuring seamless interoperability and data flow.
• Design and implement data architectures that support AI solutions, leveraging advanced database systems and ensuring data quality and security.
• Partner with Project Managers to manage projects from inception to completion, ensuring timely delivery and alignment with business objectives.
• Mentor and coach team members, fostering a culture of continuous learning and innovation within the organization.
• Collaborate with peers to architect and implement Azure solutions that meet defined customer business objectives.
• Assist with the development or improvement of deployment solution architecture and standards.

Requirements

• Experience:
• At least 7 years of experience in a technical environment (Azure preferred), with a minimum of 3 years in Azure solution development and architecture.
• Technical Skills:
• Expertise in architecting and implementing Azure data technologies, such as Microsoft Fabric, Power BI, Azure Synapse, Azure SQL/Cosmos DB/Postgres database systems and Azure Databricks.
• Knowledge in AI technologies, including Azure AI Services and OpenAI models.
• Skills in Python programming, with experience in designing and implementing Data and AI solutions.
• Advanced knowledge of data management concepts, including ETL processes, data warehousing, and data lake design.
• Communication: Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences, including non-technical stakeholders.
• Problem Solving: Exceptional analytical and problem-solving skills, with a track record of developing innovative AI solutions.
• Solution Consulting: Strong knowledge and experience in working with customers in a consultive approach in a technical environment.

Additional Qualifications:

• Familiarity with Azure networking and security requirements.
• Familiarity with Azure Machine Learning Studio and Cognitive Services.
• Proven ability to manage multiple projects and deliver high-quality results on time.
• Experience in Azure DevOps for source control and