Lead Alpaca’s data platform strategy and engineering execution on-site, using modern data architecture, ETL, and stakeholder management skills.
As Head of Data Platform, you will lead the growing Platform Engineering team and manage three team leads. You will own the department roadmap while guiding architecture decisions across data engineering, analytics, and production operations. Alpaca’s platform supports invoicing, revenue attribution, regulatory reporting, and hundreds of millions of daily events.
Key Responsibilities: Lead and develop Platform Engineering and ETL teams
Set priorities and ensure delivery through three team leads
Own Trino, Iceberg, GCS, Airflow, Airbyte, Redpanda, and dbt architecture
Drive invoicing accuracy, embedded analytics,



and data change management
Operate on-call processes, incident response, and data SLOs
Requirements: Eight-plus years in data engineering
Three-plus years managing data teams
Proficiency in Python, SQL, Kubernetes, Helm, and Terraform
Experience with scalable CDC, batch, streaming, and reverse ETL
Experience managing distributed teams across multiple time zones
Shape Alpaca’s data platform through architecture leadership, operational discipline, and robust engineering stakeholder management.

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📌 Head of Data Platform Engineering (Manitoba)
🏢 Social Leverage
📍 Manitoba