Help empower our global customers to connect to culture through their passions.

Why you’ll love this role

As a Data and ML Platform Engineer, you will be responsible for building, optimizing, and managing platforms that facilitate data storage, processing, integration, and machine learning workflows. You will be empowering teams to leverage data to drive amazing customer experiences and business results by building a robust & sustainable platform. The ideal candidate will play a critical role in designing, implementing, and maintaining the infrastructure that supports the organization’s Data and ML ecosystem. Your responsibilities will span from optimizing data and ML architecture to ensuring the reliability, scalability, and efficiency of the systems. This role requires a strong foundation in data engineering, dev-ops, ML, and a deep understanding of the organization’s data needs. You will be collaborating with analysts, data engineers, data scientists, machine learning engineers and other stakeholders to create a scalable and reliable platform.

What you’ll do

  • Design, develop, and maintain scalable platforms and architectures for data management, processing, analytics, and machine learning.
  • Evaluate, select, and integrate technologies, tools, and services to support data and ML workflows across various environments (e.g., cloud, on-premises).
  • Implement containerization techniques using tools like Docker and orchestration platforms such as Kubernetes.
  • Implement and optimize data pipelines, ETL/ELT processes, and workflows to ensure seamless data ingestion, integration, transformation, and quality.
  • Develop and maintain infrastructure, tools, and services for real-time and batch data processing, streaming analytics, and data enrichment.
  • Build and manage ML infrastructure, frameworks, and tools to support model training, evaluation, deployment, and monitoring.
  • Identify and address bottlenecks, latency issues, and system limitations to ensure optimal data and ML operations.
  • Develop, automate, and manage infrastructure as code (IaC) for provisioning, configuring, and orchestrating data and ML platforms and services (e.g., Terraform and CloudFormation).
  • Automation of end to end data pipeline with metadata, data quality checks and audit
  • Optimize the data pipeline to support ML workloads and use cases
  • Support mission critical infrastructure & applications running on data platform
  • Participate in design and code reviews
  • Collaborate with cross-functional teams, including data scientists, ML engineers, data engineers, analysts, and business stakeholders, to understand requirements and deliver solutions.
  • Communicate technical concepts, architectures, designs, and insights to non-technical audiences in a clear and concise manner.
  • Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform

About you 

Must Have -

  • Experience with Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark, Databricks), Real time processing (e.g. Kafka, Flink/Spark Streaming)
  • ISaC with Terraform / CloudFormation
  • Intermediate level of Docker / Kubernetes
  • Good in SQL with either of Python or Scala
  • AWS / Other could platform
  • Familiarity with high level machine learning concepts and Willing to learn and work in MLOPs infra building.
  • Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audiences.
  • Strong business mindset with customer obsession.
  • Bachelor’s degree in Computer Science, or a related technical field

Good to Have - 

  • Experience in building Data platform
  • Experience in building ML platform
  • DataBricks Understanding
  • Masters in Computer Science or related quantitative field
About Us

StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from artists including KAWS and Takashi Murakami; and electronics from industry-leading manufacturers Sony, Microsoft, Nvidia, and Apple. Launched in 2016, StockX employs more than 1,000 people across offices and verification centers around the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time.

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Demographic Questionnaire

At StockX, Diversity, Equity and Inclusion is not a program or check-the-box initiative, it is what we stand on, it is our footprint. Our culture honors authenticity of every dimension of diversity. We recognize that it is the very things that make our team members unique that adds value to who we are. We have an intentional focus on incorporating equitable practices and fostering  inclusive communities where our teams can bring their best selves, develop into their potential, and reciprocate the respect and appreciation that enables our business to thrive. 

That focus begins  by building a robust, diverse talent pool across every team at StockX.  As part of that focus, we wish to survey our job applicants to better understand their full profiles.  Below is a set of optional demographic questions for you to review.  Your decision to provide demographic information is entirely yours, and completely independent of the recruitment decision-making process. If you do not want to provide us with this information, select the “I don’t wish to answer” option to any or all of the questions. If you do provide responses, those responses will be considered your consent to provide us with this information. 

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