🛠 Tech Stack

💼 About This Role

You'll lead the technical evolution of analytical data pipelines and centralized metrics that empower strategic product decisions. You will collaborate with product managers, engineers, and data scientists to strengthen a strong data culture. This role combines hands-on technical leadership, mentorship, and strategic thinking.

🎯 What You'll Do

• Lead architecture and development of analytical data models for product metrics.
• Act as technical reference for Analytics Engineering team, promoting best practices.
• Design, review, and optimize analytical pipelines using SQL, dbt, and related tools.
• Ensure governance, reliability, and consistency of data for dashboards and experiments.
• Mentor and support technical growth of team members.

📋 Requirements

• Strong experience with data modeling and scalable analytical pipeline development.
• Advanced SQL expertise for transforming large-scale datasets.
• Proven experience with dbt and code versioning tools (Git, GitHub).
• Practical knowledge of Python for data extraction and orchestration.

✨ Nice to Have

• Experience in fintech, payments, or financial services industries.
• Experience with Databricks or cloud-based data platforms.
• Knowledge of modern data architectures (data mesh, event-driven systems, CDC).

🎁 Benefits & Perks

• 🏥 Health and dental insurance with no coparticipation.
• 🏠 Fully remote work model with flexible collaboration opportunities.
• 📚 Educational assistance covering courses, degrees, certifications, and books.
• 🎂 Birthday day off.
• 📈 Performance-based bonuses and stock option plan.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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