🛠 Tech Stack

💼 About This Role

You'll set the technical direction for the data platform, defining architecture and standards. You'll lead end-to-end architecture using BigQuery, Dataflow, and Airflow, while mentoring data engineers. Your work empowers teams to harness AI for smarter 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 through technical challenges and skill development
• Champion best engineering practices including TDD and CI/CD pipelines

📋 Requirements

• Proven expertise in leading data engineering teams through technical authority
• Fluency with GCP data stack including BigQuery, Dataflow, and Cloud Storage
• Expert in Python with experience in TDD and modular testing
• Competence in Git and CI/CD pipeline design with automated testing

✨ Nice to Have

• Experience integrating AI and LLM tools into engineering practices
• Strong project management and Agile methodology experience

🎁 Benefits & Perks

• 💰 Competitive salary range $120,000-$130,000
• 🏠 Remote-first environment with flexible hours
• 📚 Professional development opportunities
• 🤝 Collaborative culture and inclusive environment

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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