Lead Alpaca’s data platform strategy and engineering execution in office, 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 teamsSet priorities and ensure delivery through three team leadsOwn Trino, Iceberg, GCS, Airflow, Airbyte, Redpanda, and dbt architectureDrive invoicing accuracy, embedded analytics,



and data change managementOperate on-call processes, incident response, and data SLOsRequirements: Eight-plus years in data engineeringThree-plus years managing data teamsProficiency in Python, SQL, Kubernetes, Helm, and TerraformExperience with scalable CDC, batch, streaming, and reverse ETLExperience managing distributed teams across multiple time zonesShape Alpaca’s data platform through architecture leadership, operational discipline, and strong engineering stakeholder management.#J-18808-Ljbffr

📌 Head Of Data Platform Engineering (Winnipeg)
🏢 Social Leverage
📍 Winnipeg