🛠 Tech Stack

💼 About This Role

You'll set the technical direction for the data platform, defining architecture and standards. You'll architect end-to-end solutions using BigQuery, Dataflow, and Airflow. This role centers on mentoring data engineers and championing best practices to drive AI-powered outcomes.

🎯 What You'll Do

• Define architecture, standards, and roadmap for the data platform
• Architect data platform using BigQuery, Dataflow, and Airflow
• Mentor data engineers and analysts on technical challenges
• Champion TDD, modular testing, and CI/CD pipelines

📋 Requirements

• Proven expertise in leading data engineering teams through technical authority
• Advanced skills in BI tools and SQL for data models and dashboards
• Expert in Python with TDD and modular testing experience
• Experience with GCP data stack (BigQuery, Dataflow, Cloud Storage)

✨ Nice to Have

• Experience integrating AI and LLM tools into engineering practices
• Strong project management and Agile methodology experience
• Excellent communication skills for diverse audiences

🎁 Benefits & Perks

• 💰 Competitive salary $120,000-$130,000
• 🏡 Remote-first environment with flexible hours
• 📈 Professional development opportunities
• 🏆 Performance-based compensation reviews
• 🤝 Collaborative and inclusive culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Initial Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit· 45 min