Senior Data Engineer, Strategic Partnerships & IMPACT360

Senior Data Engineer, Strategic Partnerships & IMPACT
360 Key job responsibilities

• Own the data architecture for your domain areas (e.g., ingestion, entity resolution, vendor relationship modeling) and contribute to broader platform architecture decisions
• Deliver with limited guidance where logical data models and end‑to‑end data flows are not yet defined
• Onboard and integrate disparate data sources from across Amazon (AWS, Retail, Procurement, Finance, vendor systems); resolve conflicts across inconsistent real‑world data and drive cross‑team alignment on data definitions and ownership
• Evolve data sourcing and modeling toward governed, reusable, directly‑consumed data products; drive the migration within your domains without disrupting downstream consumers
• Build and operate pipelines across distributed processing, orchestration, and an open‑lakehouse foundation on AWS (e.g., Glue/Spark, Airflow, Iceberg, Athena) governed with Lake Formation and cross‑account IAM
• Raise operational excellence: incremental and retry‑safe loads, atomic publication, dependency‑aware scheduling, and data‑quality validation
• Design data systems within your scope that serve diverse access patterns (batch analytics, governed BI, ML training datasets)
• Partner with the science team to build the 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

• 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 (e.g., Airflow)
• Strong SQL skills and proficiency in at least one scripting language (Python preferred) for data manipulation and pipeline development
• Experience designing data schemas and operating data stores in support of analytics and downstream consumers
• Experience working with cloud data services (AWS preferred)
• Experience with training and deploying machine learning systems to solve large‑scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic‑Search, and Big Data EMR/EC2/Glue/Lambda
• Experience designing data architecture and end‑to‑end data flows in ambiguous, loosely‑defined problem spaces
• Experience with open table formats (Iceberg, Hudi, or Delta Lake) and lakehouse architectures on a cloud object store
• Hands‑on experience with the AWS data stack (Glue, Athena, Lake Formation, S3, IAM) and governed cross‑account data sharing
• Experience with entity resolution, record linkage, or building unified/“golden” records from inconsistent multi‑source data
• Experience partnering with science or ML teams to product ionize data for model training and inference
• Experience onboarding and integrating data from many disparate source systems, and driving cross‑team alignment on data definitions and ownership
• Experience modernizing or re‑architecting legacy data pipelines toward reusable, governed data products
• Track record of mentoring engineers and driving operational excellence (data quality, reliability, observability)

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

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Location:

USA, WA, Seattle – Salary:  –  USD annually