Oct. 20, 2020

Director, Data Platform Engineering - Retail

FOOT LOCKER St. Petersburg, Florida

## Job description This role is expected to drive innovation through collaboration across our data science teams and business to help push Foot Locker, Inc. to the next level. The Director Data Engineering leads architecture and implementation of a cloud-based data platform for the Foot Locker, Inc. enterprise. This is a global big data platform that supports our global retail business intelligence tools, corporate, financial and merchandiser reporting, digital and omni analytics teams, and our data science group which are the major conduits for data and insights to our global business partners today. This role will include, but will not be limited to the following responsibilities: \- Own the operation of our Big Data platform and ensure as close to 100% uptime as possible \- Hadoop Platform and/or Azure cloud experience around Big Data technologies and frameworks \- Knowledge of common ingestion patterns and how to utilize real-time, stream based processing \- Drive the teams execution towards our roadmap items via Agile \- Handle the role of Product Owner for our Platform Engineering team \- Mentor and enable our current associates to thrive in our organization \- Demonstrate ownership of data integrity; Ensure that it supports the analyses and recommendations being proposed \- Provide guidance for data integrity issues, ongoing maintenance, and data governance for digital data \- Monitor and report data security compliance / access controls around our data \- Maintain detailed documentation of data collection methods and dependencies \- Work with key stakeholders to integrate analytics requirements, and updates into production cycles \- Solid knowledge of the SDLC and enforcement of standard software development practices \- Conduct audits and troubleshoot tracking gaps to maintain data confidence and implement data standardization practices \- Support a data-driven culture by educating the organization on everyday uses of data as a resource \- Work with our Data Science / Product organization in helping achieve our product goals

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