Description:

Join Braze's dynamic team dedicated to revolutionizing data infrastructure and products for impactful decision-making.
Lead the design, implementation, and monitoring of scalable data pipelines and architectures using tools like Snowflake and dbt.
Develop and maintain robust ETL processes to ensure high-quality data ingestion, transformation, and storage.
Collaborate closely with data scientists, analysts, and other engineers to design and implement data solutions that drive customer engagement and retention.
Optimize and manage data flows and integrations across various platforms and applications.
Ensure data quality, consistency, and governance by implementing best practices and monitoring systems.
Work extensively with large-scale event-level data, aggregating and processing it to support business intelligence and analytics.
Implement and maintain data products using advanced techniques and tools.
Collaborate with cross-functional teams including engineering, product management, sales, marketing, and customer success to deliver valuable data solutions.
Continuously evaluate and integrate new data technologies and tools to enhance our data infrastructure and capabilities.

Requirements:

The ideal candidate must have 5+ years of hands-on experience in data engineering, cloud data warehouses, and ETL development, preferably in a customer-facing environment.
Proven expertise in designing and optimizing data pipelines and architectures is required.
Strong proficiency in advanced SQL and data modeling techniques is essential.
A track record of leading impactful data projects from conception to deployment is necessary.
Effective collaboration skills with cross-functional teams and stakeholders are important.
An in-depth understanding of technical architecture and data flow in a cloud-based environment is required.
The ability to mentor and guide junior team members on best practices for data engineering and development is essential.
A passion for building scalable data solutions that enhance customer experiences and drive business growth is necessary.
Strong analytical and problem-solving skills, with a keen eye for detail and accuracy, are required.
Extensive experience working with and aggregating large event-level data is necessary.
Familiarity with data governance principles and ensuring compliance with industry regulations is preferred.
Experience with Kubernetes for container orchestration and Airflow for workflow management is a plus, but not required.

Braze offers competitive compensation that may include equity.
Retirement and Employee Stock Purchase Plans are provided.
Flexible paid time off is available to support work-life harmony.
Comprehensive benefit plans covering medical, dental, vision, life, and disability are included.
Family services that include fertility benefits and equal paid parental leave are offered.
Professional development is supported by formal career pathing, learning platforms, and tuition reimbursement.
Community engagement opportunities throughout the year, including an annual company-wide Volunteer Week, are available.
Employee Resource Groups provide supportive communities within Braze.
The company promotes a collaborative, transparent, and fun culture recognized as a Great Place to Work®.