🛠 Tech Stack

💼 About This Role

You'll shape the future of an AI-driven data platform, designing scalable pipelines and defining data standards. Your work directly enables analytics, product intelligence, and LLM-powered workflows. This high-impact role sits at the intersection of data engineering, platform architecture, and AI system design.

🎯 What You'll Do

• Define architecture for enterprise data platform with AI/LLM focus
• Design scalable batch and streaming data pipelines
• Establish data modeling, schema, and multi-tenant standards
• Build AI-optimized data structures including embeddings and vector storage

📋 Requirements

• Extensive experience in data engineering or distributed systems
• Advanced proficiency in Python and SQL
• Hands-on experience with cloud platforms (GCP preferred)
• Experience with modern data warehouses (BigQuery, Snowflake) and dbt

✨ Nice to Have

• Multi-tenant SaaS platform experience
• Compensation or HR data experience
• AI-native data infrastructure experience

🎁 Benefits & Perks

• 💰 Competitive compensation with target $180k-$195k CAD
• 📈 Equity participation in high-growth AI company
• 🏠 Remote-first work with occasional Calgary meetups
• 🏖️ 20 days annual vacation plus additional leave
• 🧠 Strong learning culture with technical ownership

📨 Hiring Process

Estimated timeline: 3-5 weeks

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Interview· 45 min