Design and build the next generation of Alpaca's Data Platform.
•We are seeking a Senior Data Engineer to help design and build the next generation of our Data Platform as we continue to scale to larger customers and new jurisdictions.
•At Alpaca, Data Engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision making for both internal and external stakeholders.
•Key Responsibilities Design, build, and evolve the core data platform infrastructure.
•Own our lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes.
•Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg.
•Develop and scale our BI landscape for performant, self-serve access to lakehouse data.
•Enforce platform reliability best practices, including monitoring and alerting, on-call rotations, incident response, and SLAs.
•Requirements 5+ years of experience in Data Engineering, including 2+ years building and operating scalable, low-latency data platforms handling > 100M events/day.
•Strong hands-on experience running data infrastructure on Kubernetes, with cloud-native tooling like Docker and Helm.
•Production experience with IaC: Terraform, Ansible, and ArgoCD (or equivalents).
•Deep knowledge of distributed systems with hands-on experience operating open-source query engines like Trino or Presto.
•Strong experience with object storage and open table formats, specifically Apache Iceberg.
Competitive Salary & Stock Options, Health Benefits, New Hire Home-Office Setup: One-time USD $500, Monthly Stipend: USD $150 per month via a Brex Card