Staff Engineer, Data Platform (AI)

TL;DR

Staff Engineer, Data Platform (AI): Reimagining and strengthening data infrastructure for an AI platform with an accent on core data models, pipelines, and platform scalability. Focus on architecting a scalable lakehouse foundation, implementing modern data orchestration patterns, and defining technical standards for data quality and governance.

Location: Remote within the Greater Toronto Area, Canada

Company

hirify.global is building an ecosystem enabling entrepreneurs to succeed, empowering small business owners with business management tools, and operates as a fintech, SMB software, and consumer company.

What you will do

• Design and implement core data models and pipelines that power analytics, ML, and product experiences.
• Implement modern data lake orchestration patterns, including medallion architectures.
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools.
• Define best practices and technical standards that improve data quality, governance, and performance across teams.
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning.
• Shape the long-term technical vision and roadmap for the data platform.

Requirements

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems.
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse.
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads.
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design.
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams.
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management.

Culture & Benefits

• Flexible PTO.
• Competitive health & dental insurance options, with premiums covered.
• Generous, fully-paid parental leave policy.
• Retirement Savings Plan.
• Yearly stipend for approved professional development and educational expenses.
• Home office support and team bonding opportunities for a distributed team.