Senior Data Engineer - Research & Decision Support

- Design and construct robust, scalable architectures for data pipelines utilizing Snowflake and AWS services to facilitate analytical models, data products, and reporting requirements across Decision Support. - Develop and manage optimal ETL/ELT workflows for both structured and unstructured data, ensuring compliance with enterprise architecture frameworks and business objectives. - Create and implement automated testing and validation frameworks to preserve data integrity and ensure dependability throughout all analytical outputs. - Identify and resolve data discrepancies, taking proactive measures to maintain elevated data quality standards. - Build and deploy the necessary infrastructure for data science model operations, including deployment, monitoring, and refresh schedules within cloud environments. - Streamline manual data processes through automation, thereby improving their scalability and reducing technical debt while enhancing data scientists capacity for higher-value tasks. - Generate tools and writing code to cleanse, structure, and adjust data using AI, ML, and big data methodologies while maintaining semantic layers and metadata structures enabling AI-driven workflows and self-service data access within the organization. - Develop and maintain AI agents and intelligent automation processes to enhance data operations, expedite insight delivery, and augment the teams operational capacity. - Collaborate with data scientists, business intelligence analysts, product owners, and the broader Decision Support team to interpret analytical needs into logical and physical database configurations. - Work together with internal and external data providers to validate data, offering feedback and customizing adjustments where necessary for analytical and operational purposes. - Recognize and implement enhancements to our internal data management practices, providing technical leadership to influence the data infrastructure roadmap and fostering innovation. - Mentor junior professionals by contributing to design standards and establish reusable data frameworks, ensuring extended value across Decision Support.