Senior Data Engineer, Strategic Partnerships & IMPACT360

As a Senior Data Engineer within AWS Specialist and Partner Organization, you will own the data architecture for an internal deal intelligence platform that informs strategic partnerships and portfolio decisions, coordinating cross-team data integration and collaborating with science and machine learning teams.

Responsibilities

• Own the data architecture for your domain areas such as ingestion, entity resolution, and vendor relationship modeling, while contributing to broader platform architecture decisions
• Deliver with limited guidance when logical data models and end to end data flows are not yet defined
• Onboard and integrate disparate data sources from across Amazon, resolve conflicts in real world data, and drive cross team alignment on data definitions and ownership
• Evolve data sourcing and modeling toward governed, reusable data products and migrate within your domains without disrupting downstream consumers
• Build and operate pipelines across distributed processing, orchestration, and an open lakehouse foundation on AWS (Glue/Spark, Airflow, Iceberg, Athena), governed by Lake Formation and cross account IAM
• Raise operational excellence with incremental and retry safe loads, atomic publication, dependency aware scheduling, and data quality validation
• Design data systems within your scope to support diverse access patterns including batch analytics, governed BI, and ML training datasets
• Partner with the science team to build data infrastructure for forecasting and reinforcement learning work, including feature pipelines, training datasets, decision logs, and reward signals
• Drive engineering and operational excellence best practices across the data infrastructure
• Mentor and develop peers
• Make trade offs between short term delivery needs and long term architectural scalability

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with distributed data processing using Spark or equivalent and workflow orchestration such as Airflow
• Strong SQL skills and proficiency in at least one scripting language, with Python preferred, for data manipulation and pipeline development
• Experience designing data schemas and operating data stores to support analytics and downstream consumers
• Experience working with cloud data services, AWS preferred

Technologies

• Glue
• Spark
• Airflow
• Iceberg
• Athena
• Lake Formation
• S3
• IAM
• ElasticSearch
• EMR
• EC2
• Lambda
• Hudi
• Delta Lake
• Python
• SQL

Benefits

• Health insurance
• 401(k) matching
• paid time off
• parential leave

Description

Amazon Web Services is seeking a Senior Data Engineer to join the team. This role sits within a centralized business development function that manages strategic partnerships across Amazon. The team generates, manages, and executes complex partnership deals and negotiates arrangements with broad implications for AWS and other Amazon business units. The position is part of the Strategic Initiatives team, which focuses on partnerships with significant impact across the organization.

About the Team

This role belongs to the AWS Specialist and Partner Organization (ASP). Specialists lead end to end go to market strategies for their technology domains, providing both business and technical expertise to help customers succeed. Partner teams handle strategy, recruitment, development, and growth of key technology and consulting partners, delivering the expertise and scale needed to address complex customer challenges.

Diverse Experiences

AWS values diverse experiences. Candidates who do not meet every preferred qualification are encouraged to apply. If your career path has been nontraditional or includes alternative experiences, this is still a strong opportunity to consider.

Why AWS?

AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups and Global 500 companies alike with a robust suite of products and services to power their business.

Inclusive Team Culture

AWS promotes curiosity and connection. Employee and company sponsored affinity groups foster inclusion and collaboration. Inclusion events strengthen teamwork, and bold ideas and diverse perspectives drive continual innovation across the organization.

Mentorship & Career Growth

AWS aims to elevate performance while supporting personal and professional growth. Expect ongoing knowledge sharing, mentorship, and resources to help you advance in your career.

Work/Life Balance

AWS emphasizes work life harmony and flexibility as part of the working culture. Support at work and at home enables teams to achieve ambitious goals.