Senior Data Platform Engineer — Remote

Alpaca; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Health benefits

One-time USD 500 home-office setup

Monthly USD 150 stipend via Brex Card

Job summary

Alpaca's Data Platform team builds and operates the shared infrastructure powering data storage, movement, and consumption across Alpaca. You will design, build, and operate systems spanning distributed query engines, lakehouse storage, streaming, and governance.

As a Senior Data Platform Engineer, you’ll own projects from design through production, partner with AI and Data Science teams to enable agentic workflows, and help scale our platform for hundreds of millions of events daily.

Qualifications

• 5+ years of experience in data infrastructure, platform engineering, or software engineering.
• Strong Python and SQL skills, with experience building reliable pipelines, services, or platform tooling.
• Experience operating distributed data systems, such as query engines, lakehouses, or streaming platforms.
• Experience operating cloud infrastructure using Kubernetes, infrastructure-as-code, and deployment automation.
• Sound operational judgment, clear technical communication, and the ability to collaborate across engineering teams.

Responsibilities

• Design, build, and operate core data platform infrastructure, including distributed query engines, lakehouse storage, orchestration, and streaming pipelines.
• Contribute to regional platform deployments, building scalable and repeatable infrastructure using Kubernetes and infrastructure-as-code.
• Develop real-time data processing, analytics, and alerting capabilities for operational and product use cases.
• Partner with AI and Data Science teams on the platform foundations for agentic workflows, evaluations, and ML lifecycle tooling.
• Evolve our data catalog, governance, and access controls so data is discoverable and properly governed.
• Own platform reliability through observability, on-call participation, and operational improvements while collaborating with cross-functional teams.

Skills

Python

SQL

Data pipelines

Distributed data systems

Cloud & Kubernetes

Tools

Kubernetes

Apache Iceberg

Kafka

Flink

Terraform

Job description

Alpaca's Data Platform team builds and operates the shared infrastructure powering data storage, movement, and consumption across Alpaca. You will design, build, and operate systems spanning distributed query engines, lakehouse storage, streaming, and governance.

As a Senior Data Platform Engineer, you’ll own projects from design through production, partner with AI and Data Science teams to enable agentic workflows, and help scale our platform for hundreds of millions of events daily.