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Senior Solutions Architect (Big Data Platforms)

Company: Foot Locker
Location: Camp Hill
Posted on: June 10, 2021

Job Description:


Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you've come to the right place. To learn more about the incredible impact we're making on both our local and global communities, Click Here!

Foot Locker, Inc. is seeking an experienced Solutions Architect, an innovative individual with a proven track record of designing and leading development of enterprise level platform components to support data products from multiple teams and lines of business. You must be inspired by technology and have both passion and expertise in creating innovative technical solutions and architectures. You will serve as an expert in technology, demonstrate strong leadership and champion Foot Locker Inc. values. This role is expected to drive innovation through collaboration across our data teams and our business to help push Foot Locker, Inc. to the next level. The team is embarking on a journey of building a new data platform using cloud native concepts and the latest tech stacks to build a data lake in multiple geographies. Some ideal technologies for this individual include: Azure, Databricks, Kubernetes, Terraform, Airflow, Helm, Spark, Kafka, Scala, CosmosDB, DGraph, Apigee, Snowflake, Power BI and Python.


  • Design, document and implement solutions with reusable components, frameworks and libraries at scale to support real-time and batch file data ingest for data platforms, data engineering, data science, analytics and business intelligence products, to include: data lakes, data catalogs, transaction and audit ledgers, PII and non-PII zones, REST APIs and more
  • Establish and implement patterns to ingest and publish both real-time and batch jobs, data pipelines and data catalog metadata through cleaning, preparing, optimizing and normalizing data ingestions of a variety of internal and third-party data sources
  • Support our Data Scientists by helping design and implement the data science platform and the ML + DevSecOps platform by ensuring data modeling jobs are more scalable, efficient, optimized for lower cloud costs and rapidly updated or re-trained
  • Maintain comprehensive documentation for platforms, technologies, integrations, processes, decision making and estimates related to solution design and implementation
  • Collaborate on the continuous evolution of our common product, customer data and meta-data models
  • Mentor and lead other solutions architects and data engineers in an agile environment to implement your designsOn occasion, rapidly prototype or proof-of-concept an idea to demonstrate a feature or capability that the data engineers will make production ready


  • Bachelor's Degree in Computer Science or related field
  • Minimum 5 years' experience with public cloud knowledge with a focus on Cloud-based Big Data Technologies, DevSecOps environments, Containerization, Cost Optimization, and Real-Time data streaming technologies
  • Minimum 5 years' experience designing and implementation of data lakes, data catalogs and data pipelines
  • Minimum 5 years' experience designing / implementing Big Data and Machine Learning platforms and technology stacks using multiple technologies such as: Kubernetes, Spark, Kafka, Scala, Python, Airflow, Snowflake, ML Flow, Databricks, Terraform and Airflow
  • Must be able to contribute to self-organizing teams with minimal supervision working within the Agile / Scrum project methodology
  • Minimum 5 years' experience leading and mentoring less experienced architect and engineers
  • Strong understanding of retail data management systems
  • Strong conceptual, logical and physical architecture design experience and leading the implementation of your designs.
  • Excellent analytical and problem-solving skills with great interpersonal dispositions and communication skills.
  • Strong knowledge of various DMBS systems including NoSQL architectures and design principles, like CosmosDB or Cassandra
  • Public cloud experience with Azure (preferred), AWS, or Google
  • Experience using DevSecOps technology stacks for CI/CD tools, automated testing and project build automation - Git, Jenkins, Maven, PyPi, etc. a plus
  • Previous experience at a fortune 500 company, preferred


Keywords: Foot Locker, Ellicott City , Senior Solutions Architect (Big Data Platforms), Other , Camp Hill, Maryland

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