Senior Manager, Data Engineering

Seattle, Washington, USA

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Posted 1 month ago

Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. In this ecosystem, the International Seller Services (ISS) organization enables Sellers across EU5, China, Japan, Australia, Brazil, and Turkey to make their Selection(s) available to customers globally and deliver the experience they have come to expect from Amazon.

The Data Engineering team at ISS owns 2500+ TB data with systems and use cases spread across reporting, analytics and science. We are looking for a passionate, insightful, results-oriented Data Engineering Senior Manager to join a global team chartered with building the data and reporting backbone that supports ISS Worldwide.

Core responsibilities are as follows:
· Hire, develop, and mentor a high-performance team of data engineers
· Manage day to day activities of the Data Engineering team via Agile/Scrum methodologies
· Manage and execute against project plans and delivery commitments
· Report on status of development, quality, operations, and system performance to leadership
· Build and maintain inter-team relationships and be the chief point of contact for development partners and customers
· Develop long term vision and translate that into an achievable road map
· Solve problems and reduce ambiguity in roadmap to achieve task delivery dates
· Dive deep into data quality issues and suggest corrective solutions
· Architect data warehousing and BI solutions that solve problems which cut across Amazon business functions
· Interface with business customers, gather requirements, and deliver complete Data Engineering, Data Warehousing, and BI solutions
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using PostgreSQL (Redshift), Spark (EMR), programming languages (e.g. Java/Python) and/or a scripting language (Perl, Unix shell) to process data for modeling
· Recognize, adopt, and spread best practices in development (data integrity, test design, analysis, validation, and documentation)

Tech-specific responsibilities are as follows:
· Increase productivity of the data engineering team
· Influence and challenge team during design discussions to come up with scalable and economical solutions using AWS technologies
· Build platforms capable of storing and processing very large data volumes with high data quality standards
· Lead the team and optimize writing of scripts and SQL code to deep dive data quality problems on a regular basis
· Grow your knowledge of AWS technologies

Basic Qualifications

· BA/BS degree in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering, or similar field
· 8+ years of experience as a BI, Data Engineer
· Experience hiring, developing, and managing a team
· Experience applying advanced data warehousing concepts on the job
· Experience building self-service reporting solutions using business intelligence or data visualization software (e.g. Tableau Server, AWS Quicksight)
· Experience using SQL, ETL construction, Data Warehousing solutions and database modeling in a business environment
· Experience using data and metrics to back up assumptions, develop business cases, and complete root cause analyses
· Experience working cross-functionally and building/maintaining trust with internal stakeholders
· Experience with the Software Development Life Cycle (SDLC) and Agile/Scrum methods

Preferred Qualifications

· Masters degree in analytical area
· Experience at an internet-based company working with large, complex data sources or in an analysis or research role with progressively increasing responsibility
· Demonstrable experience in scripting languages (Python, Perl, Ruby)
· Experience using enterprise data orchestration tool (Airflow, OmniFlow, etc.)
· Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Job tags: Airflow AWS Business Intelligence Data Warehousing Engineering ETL Java Perl Python Redshift Research Ruby Scrum Spark SQL Tableau