Senior Manager - Data Engineering (Databricks)

Overview

Senior Manager, Data Engineering, leading a Data Engineering team to drive efficient use of data across the organization, developing and executing a data strategy, and aligning data initiatives with business objectives.

What you'll do

• Lead, coach, motivate, challenge and provide managerial guidance to the team.
• Develop and execute training programs and career development plans for the team and individual associates.
• Articulate a strategic vision to the team and solve problems and make decisions with sound judgement.
• Provide continuous feedback and complete formal performance evaluations as directed by the organization.
• Recognize and celebrate the accomplishments of individual team members and the overall team.
• Lead direct reports and other associates to accomplish company initiatives.
• Continuously assess and integrate emerging technologies and industry trends to enhance the data engineering team's efficiency and innovation.
• Gain domain knowledge of the data sources and associated business processes ingested by the Data Engineering team.
• Act as subject matter expert in projects and initiatives throughout the enterprise.
• Use various technologies and tools to analyze source data, perform QA analysis and debug possible data quality issues.
• Monitor jobs and data pipelines for possible issues and help identify root causes.
• Act as an internal and external-facing liaison for Data Engineering.
• Ensure data ingestion projects adhere to Bread Financial policies and procedures, such as data governance, information security and data retention.
• Prioritize efforts on critical initiatives, identify opportunities, and collaborate with stakeholders to resolve business problems and gain consensus on solutions.
• Ensure data security and compliance with relevant regulations (e.g., GDPR, CCPA) and internal policies, and develop measures to protect sensitive information.
• Identify potential risks in data engineering processes and develop strategies to mitigate them, ensuring continuity and reliability of data services.

What you'll need

• Bachelor's Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
• 1 cloud certification: AWS Cloud Practitioner, Microsoft Azure Fundamentals or Google Cloud Digital Leader.
• 10-13 years of experience across data analysis, cloud data platform architectures and infrastructure platforms such as Azure or AWS, SQL queries, and support of Big Data and Analytics development.
• 3+ years of leadership experience.

Nice to have

• Master's Degree in Computer Science, Mathematics, or related field of study.
• 13-15 years of project management, data governance, data management, associate engagement and career planning.
• 5+ years of leadership experience.

Details

• Work environment: normal office environment, hybrid.
• Reports to Director and above; 6-10 direct reports.