🛠 Tech Stack

💼 About This Role

You'll build and evolve the data foundations that power decision-making across Pipedrive, designing scalable pipelines and architecture. Your work will enable teams to access reliable, high-quality data while collaborating with engineers, product managers, and analysts. This role offers the chance to solve complex data problems and improve platform performance at a global scale.

🎯 What You'll Do

• Design and maintain scalable data pipelines and systems
• Drive evolution of data architecture for scalability and reliability
• Lead data initiatives spanning multiple systems and teams
• Improve data quality, observability, and platform performance

📋 Requirements

• Proven experience building and operating production data systems
• Strong SQL skills and data modeling understanding
• Proficiency in Python
• Experience with distributed data processing like Spark or Flink

✨ Nice to Have

• In-depth AWS experience at scale
• Experience with streaming or real-time data systems
• Familiarity with AI-assisted development tools

🎁 Benefits & Perks

• 🏖️ Flexible hours and hybrid work
• 💰 Performance-based bonuses
• 🌴 28 paid leave days plus well-being days
• 🐾 Pawternal leave and compassionate leave
• 📈 Mentorship and internal mobility programs

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4System Design Interview· 60 min
5. 5Offer· varies