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 strong engineering stakeholder management.
Head of Data Platform Engineering in Ottawa employer: Social Leverage LLC
At Fiscal.ai, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the fast-paced world of AI finance. Our remote work culture, complemented by opportunities for in-person collaboration in vibrant downtown Toronto, allows for a flexible yet engaging environment where employees can thrive. We are committed to your professional growth, offering access to cutting-edge technologies and projects that challenge and inspire, making Fiscal.ai a rewarding place to advance your career.
