Senior Data Engineer II

Braze • New York City, NY

10h • Hybrid

About The Position

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 Team Overview Join our elite Data Engineering team at the forefront of building strategic, cross-functional data platforms that shape how Braze operates at scale. As a Senior Data Engineer II, you will serve as a technical authority and organizational leader — defining architectural standards, driving adoption of emerging technologies, and setting the engineering bar for the entire data function.

Requirements

• 8+ years of hands-on experience in data engineering, with deep expertise across cloud-based data platforms and enterprise-scale data infrastructure.
• Demonstrated leadership in designing and delivering strategic, cross-functional data architectures and platforms.
• Expert-level proficiency in SQL, Python, and modern data tooling (e.g., dbt, Snowflake, Airflow).
• Proven track record of driving technical strategy and influencing architectural decisions across multiple teams or departments.
• Experience operating in multiple cloud environments (e.g., AWS, GCP, Azure) and navigating complex, multi-system data landscapes.
• Deep understanding of data governance, data modeling principles, and compliance best practices.
• Demonstrated ability to communicate complex technical strategies clearly to diverse stakeholders, from engineers to executives.
• A history of producing internal best practices, technical documentation, or training content adopted organization-wide.
• Strong mentorship record with experience developing senior and junior engineers alike.
• Ability to build consensus and drive adoption of engineering standards across distributed teams.

Nice To Haves

• Experience with Kubernetes, container orchestration, or advanced workflow management frameworks.

Responsibilities

• Design and lead the implementation of highly complex, strategic data pipelines and architectures spanning multiple cloud environments.
• Define and enforce data engineering standards, governance frameworks, and architectural patterns across the organization.
• Innovate in data engineering methodologies and champion the evaluation and adoption of new technologies that improve reliability, scalability, and performance.
• Lead cross-team technical initiatives from conception through delivery, aligning stakeholders and managing technical dependencies.
• Partner with engineering leadership and executives to influence departmental data strategy and long-term infrastructure roadmap.
• Design and deliver cross-department infrastructure and platform capabilities used by multiple teams.
• Build and publish internal best practice documentation, architectural decision records, and engineering training content.
• Drive consensus around improved standards and facilitate their adoption across the broader engineering organization.
• Provide advanced technical mentorship to senior, mid-level, and junior engineers, fostering a culture of continuous improvement and engineering excellence.
• Own the technical quality of data systems through code reviews, architecture reviews, and hands-on contribution.

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 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®

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed