Job Description
Adtalem is a data-driven organization dedicated to driving best-in-class student outcomes. The Data Engineering team builds the foundation that powers analytics, AI, and strategic business decisions through robust data platforms, pipelines, and governance policies.
We are seeking a Senior Manager, Data Engineering to lead the design, development, and continual improvement of our data solutions. This role combines hands-on technical expertise with leadership, guiding a high-performing team to deliver reliable, timely, and trusted data that drives business impact.
- Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions.
- Build, mentor, and inspire a high-performing data engineering team.
- Define strategies for data acquisition, collection, and utilization across the organization.
- Establish and manage SLAs for all production datasets and processes.
- Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems.
- Develop self-service reporting and democratization layers to empower teams with data.
- Troubleshoot, code, test, and document solutions to ensure quality and reliability.
- Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance.
- Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals.
- Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture.
- Comply with company policies and standards while performing additional duties as needed.
- Travel up to 5% as required.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field.
- Eight (8) plus years in data engineering (data platforms, ingestion, management, or analytics).
- Three (3) plus years in leadership roles building and managing high-performing teams.2+ years experience with Google Cloud Platform services such as BigQuery, Composer, GCS, DataStream, and Dataflows.Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership.
- Strong analytical skills with the ability to develop and reverse complex engineering solutions.
- Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders.
- Experience defining roadmaps, managing incremental execution, and delivering successful launches.
- Ability to manage multiple, competing priorities in an Agile, fast-paced environment.
- Experience mentoring and growing data engineers.
- Critical thinking, advanced problem-solving, and a proactive approach to improving processes.
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