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Manager III, Data Engineering, Global Finance Solutions FP&A
Reads like a Data Leadership role: running a data team.
Heredia, Heredia, CRI
Actively hiring, first seen by us 6 hours ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
What you’ll work on
Full postingIn this role, you'll drive technical excellence while building and mentoring a high-performing team of data engineers.
From the employer’s posting
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.
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
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- Java
- Python
- Scala
- AWS
- Hadoop
- Hive
- Redshift
- S3
- Spark
Where the posting names them
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
- 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.
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
- 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
- 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.
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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.
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Heredia, Heredia, CRI
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