Senior Data Engineering Manager

Requirements

• Bachelors or Masters degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
• Over eight years of experience in data engineering, focusing on data platforms, ingestion, management, or analytics.
• At least three years of leadership experience building and managing high-performing teams.
• More than two years of experience with Google Cloud Platform services, including Big Query, Composer, GCS, Data Stream, and Dataflows.
• A proven history of increased responsibilities, beginning as a Data Engineer and progressing to roles with greater complexity and ownership.
• Strong analytical abilities to create and reverse-engineer complex engineering solutions.
• Excellent verbal and written communication skills, able to explain intricate technical concepts to management and stakeholders.
• Experience in defining technology roadmaps, managing gradual execution, and ensuring successful project launches.
• Capacity to juggle multiple competing priorities in a fast-paced, Agile environment.
• Experience in mentoring and developing data engineers.
• Advanced critical thinking and problem-solving skills with a proactive approach to process enhancements.

• Oversee the design, execution, and enhancement of data pipelines, datasets, and metrics vital for effective business decision-making.
• Cultivate, mentor, and inspire a high-performing data engineering team.
• Develop strategies for data acquisition, collection, and use throughout the organization.
• Set and oversee SLAs for all production datasets and processes.
• Collaborate closely with Product Managers, Analysts, and Data Scientists to create and maintain data-driven systems.
• Establish self-service reporting and democratization layers to empower teams with access to data.
• Debug, code, test, and document solutions to guarantee quality and reliability.
• Assess current procedures to enhance interdepartmental communication, collaboration, and overall process performance.
• Create technology roadmaps and manage the progressive execution to meet both short- and long-term business objectives.
• Act as a key leader within the Data and Analytics organization, promoting a data-driven culture.
• Adhere to company policies and standards while undertaking additional tasks as necessary.
• Be prepared for travel up to 5% when necessary.

Company:

At Adtalem Global Education, we are a recognized leader in post-secondary education and a principal provider of skilled talent within the healthcare sector. Our mission is to equip and empower students with the knowledge and skills necessary to become community leaders, creating a lasting impact on public health and well-being. We offer a flexible hybrid work schedule with four in-office days per week, facilitating creativity and collaboration within our team.

We are proud to offer a comprehensive benefits package, including health, dental, and vision insurance, a 401k retirement program with a 6% employer match, participation in our Flexible Time Off policy, and 12 paid holidays. We look forward to welcoming talented individuals to join our mission.