Senior Software Development Engineer, AWS Fintech, AWS Fintech Data Platform

Description

AWS Fintech's data platform powers financial reporting for all of AWS — every dollar, every data point. As a Sr. Software Development Engineer (Sr. SDE) on the Data Platform team (DataFI), you will shape how Amazon understands its cloud business by driving the technical vision, architecture, and implementation of platform capabilities that thousands of engineers and finance professionals depend on daily.

You will lead system design, implement critical-path code, define and raise engineering standards, and drive operational readiness for a suite of products used across AWS Fintech, AWS, and Amazon. This role demands end-to-end expertise across the data stack, versatility in complex and evolving technologies, and excellent judgment to balance large-scale architectural decisions with enabling fast experimentation and time-to-market.

We are looking for a seasoned builder who thrives at the intersection of scale, complexity, and craft — someone who decomposes ambiguous problems into actionable technical roadmaps and then builds them.

Key job responsibilities

• Drive technical vision and architecture for a cohesive data platform, unifying multiple offerings into a seamless builder experience.
• Design and implement critical-path systems — own the architecture from whiteboard to production, making decisions that balance scalability with speed-to-market.
• Define and raise engineering standards across the team — code quality, operational readiness, testing patterns, and documentation.
• Solve hard technical problems: sub-second OLAP queries over petabyte-scale financial datasets, building trust through lineage spanning hundreds of pipelines, and designing AI-driven root-cause analysis for data quality at enterprise scale.
• Influence data strategy and investment decisions, partnering with Principal Engineers and senior leaders to shape where we invest next.
• Mentor engineers and raise the hiring bar — grow the people around you and cultivate a culture of engineering excellence.
• Research, prototype, and publish — produce design documents, POCs, and recommendations that broadly influence technical and business leaders across AWS Fintech.
• Identify hotspots and eliminate duplicate work across teams — think in platforms, build with empathy for the engineers who consume your systems.
  
  

A day in the life

• Design and code review sessions — writing and reviewing critical-path code, providing architectural guidance to the team.
• Deep-dive into system performance, operational metrics, and customer pain points to identify improvement opportunities.
• Collaborate with Product Managers, Principal Engineers, and partner teams to refine requirements and align on technical direction.
• Prototype and evaluate new technologies, frameworks, or architectural patterns to solve emerging challenges.
• Participate in operational reviews, on-call rotations, and incident response — ensuring systems meet the reliability bar AWS Finance requires.
• Mentor team members through pairing, design discussions, and code reviews.
• Author and iterate on design documents, technical specs, and architectural decision records.
• Sprint planning and backlog refinement — prioritizing technical debt, feature work, and operational improvements.
  
  

About The Team

The AWS Fintech Data Platform team (DataFI) provides managed platform capabilities and library solutions that operate at scale. We are the owners of AWS financial data and technology solutions, building systems that enable management and financial reporting for all of AWS.

Our Portfolio Includes

• Data Lineage – The single lineage solution across AWS data teams, with a vision of connecting end-to-end data flow across AWS and extending to Finance datasets across FGBS.
• Managed OLAP & Custom Pivot UI – Large-scale, low-latency data read layer that all of AWS Finance relies on for reporting and analytics.
• Data Quality Platform – A unified platform for capturing data quality issues, detecting anomalies, with a roadmap toward AI-driven 5-Whys root-cause analysis.
• Data Platform Tools – ETL Framework, Managed MWAA, File Validation Service — the foundational plumbing that keeps pipelines running.
  
  

We are a team of builders who value depth over breadth, who ship weekly, and who treat operational excellence as a craft — not a checkbox. We believe the best platforms are built by engineers who use them, and we dogfood relentlessly.

Basic Qualifications

• 5 years of non-internship professional software development experience
• 5 years of programming with at least one software programming language experience
• 5 years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  
  

Preferred Qualifications

• 5 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually


Company - Amazon.com Services LLC

Job ID: A10448282