Senior Data Engineer II

• →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.

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.

The ideal candidate for this role possesses:

• 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.
• Preferred but not required: Experience with Kubernetes, container orchestration, or advanced workflow management frameworks.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $109,000 and $164,000/year, with an expected On Target Earnings (OTE) between $125,000 and $188,000/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.