Senior Data Engineer, Shopbop

4 weeks ago

Madison, Wisconsin, United States Amazon Full time
About the Role

As a Senior Data Engineer at Amazon, you will lead the Data Engineering team in Shopbop, driving strategic decision-making, adopting best practices, and solving complex data engineering questions. You will be responsible for leading the team in migrating from a legacy Informatica system to a modern data architecture, raising the bar on insights, and improving data quality.

You will partner closely with junior data engineers, peer software engineers, and leadership to define the technical direction for Shopbop's data systems, coach colleagues on best practices for data ownership, and advise peers at Amazon on technical topics.

You will define and teach others about the best practices for data ownership and the ownership boundaries between source teams and DE teams.

Your work will improve the quality of data and insights at Shopbop, driving important customer outcomes from purchasing the right products that spark customer's style obsessions, lowering delivery speed through shipping insights, or powering science-driven algorithms.

About the Team

The Shopbop Data Engineering team has 3 engineers and 8 contractors who source, clean, and host Shopbop's data mart. You will be a senior advisor to the team providing your expertise at standups, code reviews, and design reviews. You will represent the team in technical meetings.

You will also act as an auditor and contributor to technical discussions that cross the Amazon Fashion & Fitness organization partnering closely with Senior Engineers, BIEs, Principal Engineers, and Principal Data Scientists.

Key Responsibilities

You will be the key decision maker for the architecture of Shopbop's ETL processes, making sure we produce reliable, accurate, timely data for our customers.

You will be the leader in deciding what patterns, practices, and approaches the DE team uses to develop their systems.

You will drive the quality bar on the team by inventing new components and processes, using code reviews to drive best practices, and advocating for time to invest in the right Operational Excellence investments for the team.

You will coach outside the team as well, advising peer Software teams to provide accurate data.

You will act as an advisor to Shopbop Technology at org-wide operations reviews, in technical deep dives, and in review project plans.

A Day in the Life

You start the day reviewing slack: you respond to an email asking for an invite to the design review for a new Marketing project to make sure their data plan is sound.

You work for several hours on a migration project, building a component to help simplify this (and future) integrations.

At daily standup, you notice one of the engineers is having trouble optimizing their ETL flow, so you call them afterwards - unblocking their work.

You finish the day at the Shopbop operations review, where you share good news with your peers: nightly runs are completing 20% faster due to optimizations you made.

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