Staff Software Engineer, Product Risk

Leads a team delivering reliable, scalable data pipelines, warehouses, and supporting applications for critical product-risk use cases. The role requires 10+ years building and operating data systems, distributed data-processing expertise, backend programming, strong SQL, and technical leadership.

About the job

Responsibilities

Lead the technical outcomes for a team of engineers, providing mentorship, guidance, and support.
Partner with recruiting to attract and hire top talent.
Deliver reliable, efficient data pipelines that scale to user needs.
Develop subject matter expertise and manage SLAs for data pipelines and full-stack web applications supporting critical stakeholders.
Collaborate with product managers and peers to create and improve canonical datasets and data warehouses, use golden paths, and ensure trustworthy data.
Leverage AI, LLMs, and agents at scale to produce and analyze high-quality data for ambiguous problems.
Drive key data initiatives across the development lifecycle, from planning through delivery, while maintaining high standards of quality and timeliness.
Foster a collaborative, inclusive environment that supports innovation, knowledge sharing, and continuous improvement.

Requirements

10+ years of experience building and operating data systems, pipelines, warehouses, and infrastructure, and leading teams to deliver solutions.
Strong engineering background and passion for data.
Experience writing and debugging data pipelines using distributed data frameworks.
Ability to investigate data inconsistencies and resolve deep-rooted data quality issues.
Knowledge of a backend development language such as Scala, Java, or Go.
Strong SQL experience.
Strong customer focus and ability to partner with product leaders and engineers to understand use cases.
Effective cross-functional collaboration, clear communication, and sound decision-making.
Ability to work with high autonomy and responsibility in ambiguous environments.
Ability to foster and contribute to a healthy, inclusive, challenging, and supportive work environment.

Nice-to-haves

Experience with Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, or AWS Cloud.
Contributions to open-source projects.
Experience creating and maintaining data marts or warehouses for business reporting.
Experience collaborating with Product, Go-To-Market, Sales, or Marketing teams.
Strong written and verbal communication skills for technical, leadership, user, and company-wide audiences.