The Data Platform team is part of the Platform Infrastructure Engineering and Reliability group, responsible for designing, implementing, and maintaining the Stack AV on-premises data platform. The team supports large scale OLAP/OLTP and feature engineering workloads for multiple Product Development groups across the company.

In Short

Design, implement, maintain, and operate the on-premises data platform for large-scale OLAP/OLTP and feature engineering workloads.
Engage in requirements gathering and participate in the design process to align the platform with business and internal customer needs.
Provide production-grade support to internal engineering teams, emphasizing observability, instrumentation, and defined service level objectives (SLOs).
Collaborate cross-functionally within the organization to meet customer use cases and deliver business value.
Automate routine administrative tasks and create alerts to proactively identify system issues.
Identify and implement new features in OSS products to support business needs.
Work with outside vendors by providing critical product feedback and advocating for new features and changes.
Develop and implement security best practices at the data, application, infrastructure layers.
Troubleshoot performance issues and identify / eliminate performance bottlenecks.

Requirements

Computer Science degree (or equivalent experience will be considered).
7+ years of total experience with at least some of that running a service and providing support to users.
Expert Level Programming skills in 2+ languages like Python, Java, C++ or SQL.
Hands-on experience running Trino (or Presto), familiarity with Object Storage and open table formats such as Iceberg, DeltaLake.
Experience with Apache Spark, hands-on experience with Terraform, Kubernetes, and ArgoCD.
Strong Communications Skills, ability to provide and receive constructive feedback.
Willingness to participate in daily stand-ups, desire to learn new technologies.