WHO YOU ARE:You have a minimum of 5 years of technical, hands-on experience building, optimizing, and implementing data pipelines and architectureExperience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvementYou are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of successYou have a passion for leading teams and providing both formal and informal mentorshipYou have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical levelYou have a deep understanding of data governance and data privacy best practicesYou incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflowsYou have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study The ideal candidate will have recent technical knowledge of the following:Programming languages (e.g. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.