Senior Manager Data Engineering

Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of customers. The Recruiting Engine Analytics Data and Insights Team is reinventing how we recruit at Amazon with the mission to make Amazon the most scientific Recruiting organization on earth.

A day in the life
READI is a single-threaded organization responsible for building, leading, and standardizing Recruiting data and analytics with the goal of reducing time to insights by driving a coordinated data management program through ownership of end-to-end source-to-insight metrics.

About the hiring group
The Recruiting Engine Team is reinventing how we recruit at Amazon. Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of customers. As the search for talent becomes more competitive, we are bringing together recruiting, science, tech, programs, and process teams to find and hire candidates who raise the bar more quickly and efficiently.

Job responsibilities
Key job responsibilities
Do you want to build and lead a team that is building the most advance Recruiting data platform in the world? We are looking for a leader who can build and grow a team of data professionals to design and build innovative enhancements that deliver a world-class experience.

Who you are:
You are a creative, collaborative leader who likes to be close to the details - including your customers, your team, your data, and the new systems you build. You're a manager who is excited to build and grow and team of data professionals, establish the roadmap for the team, and prioritize the work to deliver the best results for your customers. You're inspired and motivated to build a team of people who can and will exercise their creativity in problem solving at Amazon’s Recruiting scale.

About the Role:
You will have the opportunity to build a new team focused on delivering scalable, resilient, and reliable data infrastructure to support Recruiting teams efforts to continuously raise the bar. This team is not fully staffed, so you'll have the chance to shape the skills and culture of the team. We have identified the need, but there is a lot of ambiguity in what we need to build out to support those goals; you'll have the opportunity to shape the team, the roadmap, the processes, and interact with your customers to learn how to solve their challenges.

We are working on really hard problems and moving very fast. Starting with a few good engineers, you'll continue building a team of bright, creative people. You will have support from your leadership, and you'll own your space. You will be the one identifying solutions, trying ideas, given space to fail and iterate to produce the right results that your customers love. You will have opportunities to grow and learn as a leader, to build and develop a team, and you'll be able to collaborate and with your customers to define and achieve success.

This position can be based in Austin, TX or in any USA Amazon Corporate office location.


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 https://www.amazon.jobs/en/disability/us.

Basic Qualifications

· Bachelor's degree in a quantitative heavy field - Business, Sociology, Engineering, Statistics, Computer Science, Mathematics or related field
· Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
· Direct experience with one or more major data visualization tools including Tableau/QuickSight/Power BI

Preferred Qualifications

5+ years of industry experience in data engineering, data science, business intelligence or related field
· Knowledge of data management fundamentals and data storage principles
· Demonstrated strength in data modelling, ETL development, and data warehousing/lakes
· Database design and administration experience with various RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.
· Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, etc.) and/or Microsoft Database Software Stack (SQL Server/SSIS/SSAS)
· Advanced SQL and query performance tuning skills.
· Experience building data products incrementally, integrating and managing large data sets from multiple sources
· 2+ year of coding experience with modern programming or scripting language (Python, Scala, Java, etc.).