Job description

Description 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

Requirements