Director of Data Engineering

Main Location
Detroit, MI, United States
Open jobs

We’re looking for a Director of Data (Cloud) Engineering to join our growing and successful Data Team!

As the Director of Data Engineering, you’ll provide leadership, planning, and management for the data engineering pipelines power StockX. You will lead a team that is tasked with designing and implementing the data processes that support our business and analytics teams. Provide roadmaps, mentoring and leadership for the data engineering team. A successful candidate will be technically competent and able to work collaboratively with StockX’s internal stakeholders If curiosity, marketplaces, and sneakers, streetwear, or luxury goods get you out of bed in the morning, let’s build something incredible together! At StockX, we are just getting started!


  • Lead a team and design and build mission critical data pipelines
  • Build a highly scalable distributed system - including data ingestion (streaming, events and batch), data integration, data curation
  • Automation of end to end data pipelines with metadata, data quality checks and audit 
  • Build and support a big data platform on the cloud
  • Define and implement automation of jobs and testing
  • Optimize the data pipeline to support ML workloads and use cases
  • Support mission critical applications and near real time data needs from the data platform
  • Capture and publish metadata and new data to subscribed users
  • Work collaboratively with product managers, data scientists as well as business partners and actively participate in design thinking session
  • Participate in design and code reviews
  • Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform



  • 8+ years industry experience leading for managing teams, including 5+ years of in a managerial or leadership role
  • 3+ years experience with AWS (EMR, RDS, Redshift, S3, Kinesis, Athena, Glue)
  • 3+ years experience in data warehouse / data lake technical architecture
  • 3+ years of Big Data and Big Data tools in one or more of the following: Kafka, MapReduce, Spark or Python, Hadoop
  • Experience with Database Architecture/Schema design
  • Strong familiarity with batch processing and workflow tools such as AirFlow, NiFi
  • Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
  • Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
  • Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
  • BS/BA degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines

Nice to have:

  • Masters in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines
  • Experience with data visualization tools such as Tableau, Looker, PowerBI
  • Experience with Hadoop implementation

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Director of Data Engineering
StockX LLC