We are seeking a customer experience focused Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented, and applies critical thinking to create innovative functions and solve technical issues. In this role, you will: Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Continuously improve and optimize the automation toolset for reliability, scalability, and adaptability. Research and implement cutting-edge AI/ML and GenAI tools to rapidly develop intelligent applications, scripts, and ETL pipelines that automate data processes, and proactively eliminate workflow bottlenecks. Work closely with implementation specialists, engineering teams, and customer to understand data driven needs and build solutions that address real operational challenges. Work closely with client personnel and team members to understand data requirements and develop appropriate data solutions. Identify, create, prepare data required for advanced analytics, visualization, reporting, and AI/ML. Implement data migration, data integrity, data quality, metadata management, and data security functions to optimize data pipelines. Monitor and troubleshoot data related issues to maintain high availability and performance. Actively support Agile DevOps process, including Program Increment planning. Actively engage in continuous learning to increase relevant skills. Maintain strict versioning and configuration control to ensure integrity of data.