Data & AI Architect

Responsibilities

• Own enterprise data architecture and extend it to AI and MLOps capabilities
• Develop and implement a comprehensive data architecture strategy
• Design data models, database structures, and data flow processes
• Design and oversee the implementation of advanced analytics solutions, including machine learning models
• Collaborate with data engineering and data science teams to ensure efficient data pipelines
• Establish best practices for data governance, data quality, and data lifecycle management
• Support the selection and implementation of data management tools and technologies
• Engage with stakeholders to ensure data solutions deliver business value
• Monitor trends in the data and AI landscape to drive innovation

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, IT, or related field
• 15+ years of experience in data architecture, data engineering, or AI/ML roles
• Proven experience designing data models in large-scale environments
• Experience with AI and machine learning frameworks, libraries, and tools
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark)
• Strong knowledge of SQL and NoSQL database systems
• Excellent analytical and problem-solving abilities
• Strong communication skills for conveying complex concepts to non-technical stakeholders