Data Engineer Manager AWS Fintech
Data Engineer Manager AWS Fintech
Posted on :
02-05-2025
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1 Vacancy
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Job Description
AWS Fintech team is looking for a Data Engineering Manager to transform and optimize highscale world class financial systems that power the global AWS business. The success of these systems will fundamentally impact the profitability and financial reporting for AWS and Amazon.
This position will play an integral role in leading programs that impact multiple AWS cost optimization initiatives. These programs will involve multiple development teams across diverse organizations to build sophisticated highly reliable financial systems. These systems enable routine finance operations as well as machine learning analytics and GenAI reporting that enable AWS Finance to optimize profitability and free cash flow.
This position requires a proactive highly organized individual with an aptitude for datadriven decision making a deep curiosity for learning new systems and collaborative skills to work with both technical and financial teams.
Key job responsibilities
Build and lead a team of data engineers application development engineers and systems development engineers
Drive of data engineering programs and projects
Help our leadership team make challenging decisions by presenting wellreasoned and datadriven solution proposals and prioritizing recommendations.
Identify and execute on opportunities for our organization to move faster in delivering innovations to our customers.
This role has oncall responsibilities.
A day in the life
The successful candidate will build and grow a highperforming data engineering team to transform financial processes at Amazon. The candidate will be curious and interested in the capabilities of Large Language Modelbased development tools like Amazon Q to help teams accelerate transformation of systems. The successful candidate will begin with to familiarize themselves with the space and then construct a strategic roadmap for the team to innovate. You thrive and succeed in an entrepreneurial environment and are not hindered by ambiguity or competing priorities. You thrive driving strategic initiatives and also dig in deep to get the job done.
About the team
The AWS FinTech team enables the growth of earths largest cloud provider by building worldclass finance technology solutions for effective decision making. We build scalable longterm solutions that provide transparency into financial business insights while ensuring the highest standards of data quality consistency and security. We encourage a culture of experimentation and invest in big ideas and emerging technologies.
We are a globally distributed team with software development engineers data engineers application developers technical program managers and product managers. We invest in providing a safe and welcoming environment where inclusion acceptance and individual values are honored.
Experience managing a data or BI team
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
5 years of data engineering experience
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Knowledge of software development life cycle or agile development environment with emphasis on BI practices
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS Tools and Technologies (Redshift S3 EC2
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
This position will play an integral role in leading programs that impact multiple AWS cost optimization initiatives. These programs will involve multiple development teams across diverse organizations to build sophisticated highly reliable financial systems. These systems enable routine finance operations as well as machine learning analytics and GenAI reporting that enable AWS Finance to optimize profitability and free cash flow.
This position requires a proactive highly organized individual with an aptitude for datadriven decision making a deep curiosity for learning new systems and collaborative skills to work with both technical and financial teams.
Key job responsibilities
Build and lead a team of data engineers application development engineers and systems development engineers
Drive of data engineering programs and projects
Help our leadership team make challenging decisions by presenting wellreasoned and datadriven solution proposals and prioritizing recommendations.
Identify and execute on opportunities for our organization to move faster in delivering innovations to our customers.
This role has oncall responsibilities.
A day in the life
The successful candidate will build and grow a highperforming data engineering team to transform financial processes at Amazon. The candidate will be curious and interested in the capabilities of Large Language Modelbased development tools like Amazon Q to help teams accelerate transformation of systems. The successful candidate will begin with to familiarize themselves with the space and then construct a strategic roadmap for the team to innovate. You thrive and succeed in an entrepreneurial environment and are not hindered by ambiguity or competing priorities. You thrive driving strategic initiatives and also dig in deep to get the job done.
About the team
The AWS FinTech team enables the growth of earths largest cloud provider by building worldclass finance technology solutions for effective decision making. We build scalable longterm solutions that provide transparency into financial business insights while ensuring the highest standards of data quality consistency and security. We encourage a culture of experimentation and invest in big ideas and emerging technologies.
We are a globally distributed team with software development engineers data engineers application developers technical program managers and product managers. We invest in providing a safe and welcoming environment where inclusion acceptance and individual values are honored.
Experience managing a data or BI team
2 years of processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution) experience
2 years of relational database technology (such as Redshift Oracle MySQL or MS SQL) experience
2 years of developing and operating largescale data structures for business intelligence analytics (using ETL/ELT processes) experience
5 years of data engineering experience
Experience communicating to senior management and customers verbally and in writing
Experience leading and influencing the data or BI strategy of your team or organization
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Knowledge of software development life cycle or agile development environment with emphasis on BI practices
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with AWS Tools and Technologies (Redshift S3 EC2
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
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