Design, develop, and optimize data platforms that support enterprise-wide data management and analytics. Architect scalable solutions using modern cloud-native data warehouses such as AWS Redshift, Snowflake, and Azure Synapse Analytics. Leverage Microservices Architecture to support various data workloads, including data marts, data warehouses, and AI/ML applications. Implement and test Python applications with a strong understanding of object-oriented programming, multi-tier architecture, and parallel/multi-threaded programming. Leverage expertise in Hadoop and Cloud services such as Lambda, Step Functions, Event Bridge, DynamoDB, and CloudFormation to build efficient, secure, and scalable data solutions. Utilize predictive analytics to enhance data workflows, supporting real-time insights and data-driven decision-making. Play a critical role in improving operational efficiency, enabling business intelligence, and driving innovation in cloud-based data platforms. This position will require up to 10% travel on an as-needed basis for project meetings, trainings, and implementation support. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed