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Manager III, Data Engineering, Global Finance Solutions FP&A

Amazon is hiring a Manager III, Data Engineering, Global Finance Solutions FP&A. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • The posting mentions AI safety among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

ai-safety
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;
- 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.

About the team
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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Manager III, Data Engineering, Global Finance Solutions FP&A at Amazon rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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