Senior Software Engineer II, Data Lakehouse

Job Overview

Who You Are

• 6+ years of full-stack development experience, with a strong focus on building scalable web applications. While our primary focus is on the back-end, we own our features end-to-end and regularly deliver front-end experiences
• Experienced building automated data pipeline, asynchronous processing, or ETL applications using tools like Kafka, Airflow, Sidekiq, SQS, and RabbitMQ
• Experienced technical leader with a track record of driving architectural decisions and contributing to technical strategy
• Strong understanding of design, data structures, and algorithms
• A self-starter with great communication and organizational skills who has worked in an agile team environment before
• Willingness to learn the technologies required to deliver what customers need

Bonus Points

• Professional experience building software at scale, handling high volumes of data and traffic
• Professional experience with Ruby on Rails, Python, React, Snowflake, microservice architecture, and distributed systems
• Familiarity with modern data warehousing, BI, and analytics
• Experience with agile processes
• A passion for incrementally delivering high-quality software which delights customers

Compensation

• For candidates based in Canada, the pay range for this position at the start of employment is expected to be between CA$186,838 and CA$334,740/year, with an expected On Target Earnings (OTE) between CA$205,600 and CA$366,000/year (including bonus or commission).
• In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

What We Offer

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
• Employee Resource Groups that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

About Braze

Recruitment Process

• We use AI-assisted tools at certain stages of our recruitment process, including using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates.
• To opt out of AI-assisted review of your application, please click the "Learn More" at the end of the application form below and follow the instructions before submitting your application.

Responsibilities

• Grow the Data Lakehouse team's capacity for impact by providing foundational infrastructure and tools that enable teams across the company to store, query, and analyze data at petabyte scale
• Manage an incredible amount of event data across data platforms like Snowflake, ClickHouse, and Databricks: tens of billions of rows are inserted daily, shared with internal teams, and shared with external customers
• Own features end-to-end and regularly deliver front-end experiences while primary focus is on the back-end
• Drive architectural decisions and contribute to technical strategy as an experienced technical leader