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Added 12 mins ago
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Braze

Software Engineer II, Data Lakehouse

Toronto, ON, Canada

Job type: Full-time
Apply by: Mar 24, 2027
Experience: Minimum 2 years (ideally targeted around 2 to around 4 years) of full-stack development experience.
Posting language: English
Posted: Sep 25, 2026

Apply About employer

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Original job description

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

We're looking for a Software Engineer to grow our Data Lakehouse team’s capacity for impact. The Data Lakehouse team provides the foundational infrastructure and tools that enable teams across the company to store, query, and analyze data at petabyte scale. This includes managing 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.

WHO YOU ARE

Experience and skills:

Minimum 2 years (ideally targeted around 2 to around 4 years) of full-stack development experience. While our primary focus is on the back-end, we own our features end-to-end and regularly deliver front-end experiences
Strong understanding of design, data structures, and algorithms
A self-starter with great communication and organizational skills who has worked in a team environment before
Willingness to learn the technologies required to deliver what customers need
Degree in computer science or equivalent experience

Bonus points:

Prior experience building software at scale, handling high volumes of data and traffic
Prior experience with Python, Snowflake, ClickHouse, microservice architecture, and distributed systems
Familiarity with modern data warehousing, BI, and analytics
Prior internships or work experience at a high quality tech companies

For candidates based in Canada, the pay range for this position at the start of employment is expected to be between CA$125,280 and CA$235,736/year, with an expected On Target Earnings (OTE) between CA$139,200 and CA$258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here. More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:

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

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.

Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you

OUR AI-POWERED BRAZE RECRUITMENT PROCESS

At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process.

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI:

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. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application.
To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a manual review of any decision made or to contest a decision, please contact us at talentdata.privacy@braze.com.

Please contact us at talentdata.privacy@braze.com with any questions. To find out more about our hiring process, check out this page.

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review.

To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. Summaries of the most recent bias audit results for such tools are available here.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

Apply About employer

More about this job

Responsibilities

Build and deliver end-to-end software features for the Data Lakehouse team, with a primary focus on back-end development and some front-end work. Contribute to foundational infrastructure and tools that enable company teams and external customers to store, query, and analyze petabyte-scale event data across platforms such as Snowflake, ClickHouse, and Databricks.

Requirements

Candidates should have at least two years of full-stack development experience, strong knowledge of software design, data structures, and algorithms, and experience working collaboratively with strong communication and organizational skills. The role also requires a self-starting attitude and willingness to learn; experience with Python, data platforms, microservices, distributed systems, and large-scale data is advantageous.

Skills

Full-Stack Development
Back-End Development
Front-End Development
Software Design
Data Structures
Algorithms
Python
Snowflake
ClickHouse
Databricks
Microservices
Distributed Systems
Data Warehousing
Business Intelligence
Analytics
High-Volume Data Processing

Benefits

Equity Grants
Retirement Plan
Employee Stock Purchase Plan
Flexible Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Fertility Benefits
Paid Parental Leave
Professional Development
Learning Stipend
Volunteer Opportunities
Donation Matching

Visa sponsorship

Not detected in the job text

Keywords

Data Lakehouse
Petabyte-Scale Data
Event Data
Full-Stack Development
Back-End Development
Front-End Development
Software Engineering
Python
Snowflake
ClickHouse
Databricks
Microservice Architecture
Distributed Systems
Data Warehousing
Business Intelligence
Analytics
Data Structures
Algorithms
Software Design
High-Volume Data
Data Platforms
Customer Engagement Platform

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