Senior Data Platform Engineer - Remote | Stock Options

Alpaca; New York (NY); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Benefits

New Hire Home-Office Setup: USD $500

Monthly Stipend: USD $150 per month

Job summary

Alpaca, a US-headquartered brokerage infrastructure leader, is hiring a Senior Data Platform Engineer for our fully distributed team. You will design and operate data pipelines, lakehouse storage, and streaming infra at scale, collaborating with AI and data science to enable agentic workflows and ML lifecycle tooling.

You will own platform reliability, governance, and real-time analytics, contributing across multiple initiatives in a remote, globally distributed environment.

Qualifications

• 5+ years in data infrastructure or platform engineering with end-to-end ownership.
• Strong Python and SQL skills for building reliable pipelines.
• Experience with distributed data systems and streaming platforms.
• Cloud infra experience using Kubernetes and IaC.

Responsibilities

• Design, build, and operate core data platform infrastructure and pipelines.
• Develop real-time processing and analytics for operational use cases.
• Collaborate with AI/Data Science for agentic workflows and ML tooling.
• Improve data governance, catalog, and access controls.
• Maintain platform reliability with observability and on-call participation.

Skills

Python

SQL

Data pipelines

Distributed data systems

Kubernetes

Cloud infrastructure

Observability

Tools

Trino/Presto/Spark

Apache Iceberg

Kafka/Redpanda

ML tooling (MLflow/Vertex AI)

Job description

Alpaca, a US-headquartered brokerage infrastructure leader, is hiring a Senior Data Platform Engineer for our fully distributed team. You will design and operate data pipelines, lakehouse storage, and streaming infra at scale, collaborating with AI and data science to enable agentic workflows and ML lifecycle tooling.

You will own platform reliability, governance, and real-time analytics, contributing across multiple initiatives in a remote, globally distributed environment.