Senior Data Engineer II

BrazeNew York, NY
$109,000 - $164,000Hybrid

About The Position

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®
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service