AOT Technologies

Data Engineer

• Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
• Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
• Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
• Lead and mentor engineering teams, coordinating deliveries and driving technical standards
• Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms
• Partner with clients and stakeholders to translate business requirements into scalable data solutions
• Champion data governance, quality, and security using tools such as Unity Catalog
• Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations
• Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively

Senior Data Architect

• Design secure AI and data architectures on Microsoft Azure
• Build architecture diagrams, reference architectures, and implementation roadmaps
• Guide engineering teams through implementation
• Review code, pipelines, infrastructure, and deployment designs
• Translate business requirements into AI, data, and cloud-native solution designs
• Evaluate technology options and recommend fit-for-purpose patterns
• Communicate clearly with both technical and non-technical stakeholders

Senior Data Architect

AI and Data Architect