Manager Data Engineering
Hybrid · Gilbert, Arizona, United States
Job Summary
Lead the design and development of the enterprise data warehouse platform using Snowflake and medallion architecture principles. Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy and performance. Manage a team responsible for data integration and reporting, while building and optimizing Tableau dashboards. Establish data governance and security standards while collaborating with business units to define key metrics. Requires strong experience in data engineering, BI tools, and cloud-based architectures.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
- Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or GCP).
- Deep understanding of medallion architecture and its application in scalable data solutions.
- Strong experience with Tableau or similar BI tools (Power BI, Looker).
- Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
- Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
- Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics.
- Strong leadership, project management, and communication skills.
- Experience in highly regulated or enterprise-scale environments.
- Knowledge of data privacy, compliance, and ethical considerations in data & AI.
Desired Qualifications
- Certification in Snowflake, Tableau, or cloud data platforms is a plus.
Additional Requirements
- Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire.
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