Senior Analytics Engineer

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU’LL DO

Join our dynamic team dedicated to revolutionizing data analytics for impactful decision-making. The team collaboratively shapes data strategies, optimizing analytics practices to drive business growth.

• Lead large-scale data projects, driving significant impact across the company.
• Partner effectively with engineering, data analysts, data scientists, and business stakeholders.
• Dive deep into product understanding, team roadmaps, technical architecture, and data flow.
• Mentor data-savvy stakeholders on data best practices.
• Expertly design data models (Snowflake, Star, Data Vault 2.0) for clean data structures.
• Lead the design, implementation, and monitoring of large-scale data warehouses.
• Track downstream usage and feedback for continuous improvement.
• Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
• Adhere to and promote performance best practices based on specific database engine requirements.
• Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
• Design systems with a test-driven approach for trapping bad-quality data and highlighting alerts.
• Utilize tools like dbt for building efficient data transformation pipelines.

WHO YOU ARE

• 7+ years of hands-on experience in data/analytics engineering.
• Proven expertise in SQL, data modeling, and data governance principles.
• A track record of leading impactful data projects.
• Effective collaboration skills with cross-functional teams.
• In-depth understanding of technical architecture and data flow.
• Ability to mentor and guide stakeholders on data best practices.
• Proficiency in schema design (Snowflake, Star, Data Vault 2.0) and large-scale data warehouse implementation.
• Passion for clean data structures and continuous improvement.
• Strong analytical and problem-solving skills.
• Familiarity with ETL processes and tools.
• Enthusiasm for SQL frameworks like dbt.
• Expertise in owning and managing dbt projects.
• Dedication to applying data governance principles at scale.

#LI-REMOTE