Manager III, Data Engineering, Global Finance Solutions FP&A
Are you passionate about building data platforms that power critical business decisions at massive scale? We are looking for a Data Engineering Manager to lead a team of talented engineers in designing, building, and operating data infrastructure that transforms raw information into actionable insights.
As a Data Engineering Manager, you'll lead one of our core engineering teams responsible for building and scaling mission-critical data products that power worldwide operations business decisions. In this role, you'll drive technical excellence while building and mentoring a high-performing team of data engineers. You'll be responsible for architecting scalable solutions that process petabytes of data daily, serving diverse customers retail teams as well as corporate leadership. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.
Key job responsibilities
- Delivery of robust, scalable data solutions supporting RBS Operations data infrastructure;
Enhancement of real-time analytics capabilities serving RBS Operations leaders;
Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Data Engineering Manager for CRI site to lead a team of 10 BIE and DEs.
As a Data Engineering Manager, you'll lead one of our core engineering teams responsible for building and scaling mission-critical data products that power worldwide operations business decisions. In this role, you'll drive technical excellence while building and mentoring a high-performing team of data engineers. You'll be responsible for architecting scalable solutions that process petabytes of data daily, serving diverse customers retail teams as well as corporate leadership. We expect you to bring strong technical acumen combined with strategic thinking to solve complex problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains.
Key job responsibilities
- Delivery of robust, scalable data solutions supporting RBS Operations data infrastructure;
Enhancement of real-time analytics capabilities serving RBS Operations leaders;
- Leadership in data governance, quality standards, and responsible AI practices across the organization
- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
- Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with RBS business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
- Partner with the GenAI platform team to align data governance, schema standardization, and data contracts where applicable.
Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Data Engineering Manager for CRI site to lead a team of 10 BIE and DEs.
Basic Qualifications
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience leading and influencing the data strategy of your team or organization
- Experience managing a data or BI team
- Experience hiring, developing and promoting engineering talent
- Experience communicating to senior management and customers verbally and in writing
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Bachelor's degree in Computer Science, Engineering, or a related technical or quantitative field, or equivalent experience
Preferred Qualifications
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR