Develop and manage the modernization of the current data infrastructure at Dodge & Cox using computer applications software and specialized database programs. This includes developing processes for loading and transforming large volumes of structured and semi-structured data, participating in data warehouse development by defining metadata and security standards, and performing a variety of tasks to facilitate completion of projects. The role involves coordinating communication with different departments, writing documentation and specifications, and testing. It also includes mentoring contracted professionals in engineering best practices and effective use of cloud infrastructure and tools, performing technical design reviews and code reviews, creating and updating CI/CD pipelines for deployments, and creating processes for cloud disaster recovery and implementing them when necessary. The position requires applying knowledge of application development on SQL/Oracle databases, .NET, SSIS, and cloud-based data solutions in Azure Data Factory, Data Lake Storage, .NET, and Snowflake. The role involves designing software or customizing software for the development of modern data and analytics solutions in a hybrid cloud model, including designing, developing, and building these solutions. It requires leading team activities, providing technical direction, establishing standard development practices, and overseeing production support activities. The lead will work with internal data engineers and architects, and lead the modernization of current data infrastructure, including cloud-based data warehouse, data lakes, and data mart solutions. The role also involves leading and contributing to the contracted team responsible for data ingestion processes, performance, administration, and design of database structures. Additionally, the lead will analyze, document, and recommend optimal software solutions for data ingestion processes, performance, administration, and design of database structures, including performing research and proof of concepts to advise on decisions regarding emerging technologies. Understanding the data landscape (tooling, tech stack, source systems, etc.) and working closely with technology teams to improve data collection, quality, reporting, and analytics capabilities is crucial.
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Job Type
Full-time
Career Level
Senior