Senior Data Engineer

Summary

Join Braze's dynamic data engineering team and revolutionize data infrastructure and products for impactful decision-making. Collaborate on data engineering strategies, optimizing data pipelines and architecture to drive business growth and enhance customer experiences. Lead the design, implementation, and monitoring of scalable data pipelines. Develop and maintain robust ETL processes. Collaborate with cross-functional teams to deliver valuable data solutions. Continuously evaluate and integrate new data technologies. Braze offers competitive compensation, comprehensive benefits, flexible paid time off, and professional development opportunities.

Requirements

• 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
• Strong proficiency in advanced SQL and data modeling techniques
• A track record of leading impactful data projects from conception to deployment
• Effective collaboration skills with cross-functional teams and stakeholders
• In-depth understanding of technical architecture and data flow in a cloud-based environment
• Ability to mentor and guide junior team members on best practices for data engineering and development
• Passion for building scalable data solutions that enhance customer experiences and drive business growth
• Strong analytical and problem-solving skills, with a keen eye for detail and accuracy
• Extensive experience working with and aggregating large event-level data
• Familiarity with data governance principles and ensuring compliance with industry regulations

Responsibilities

• 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

Preferred Qualifications

Experience with Kubernetes for container orchestration and Airflow for workflow management

Benefits

• 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 tuition reimbursement
• Community engagement opportunities throughout the year, including an annual company wide Volunteer Week
• Employee Resource Groups that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®