Senior Staff Data Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Define and implement comprehensive data quality standards across the organization, encompassing data contracts, SLAs, and governance frameworks across various domains.

• Design and enhance reliability and observability frameworks, incorporating SLI/SLO models, lineage tracking, monitoring, and alerting patterns.

• Establish and refine incident management practices, including severity models, escalation pathways, on-call structures, and blameless postmortems.

• Develop and standardize data engineering SDLC practices, focusing on testing strategies, CI/CD, versioning, and reusable frameworks.

• Drive the cross-functional prioritization of reliability initiatives, balancing technical debt, operational health, and product delivery among teams.

• Lead platform improvements across the ecosystem by identifying architectural gaps, reducing fragmentation, and influencing build versus buy decisions.

• Own and deliver complex, high-impact data initiatives, ensuring stakeholder alignment, risk mitigation, and scalable solutions in ambiguous settings.

⛳️ Requirements

• Extensive experience in designing and operating scalable data platforms with an emphasis on reliability, quality, and observability.

• Proficient in utilizing AI tools and methodologies to create and implement effective solutions.

• Deep knowledge of data architecture, including data modeling, pipeline design, and distributed data systems.

• Proven track record in defining and implementing data quality frameworks, such as SLAs, data contracts, and governance standards.

• Strong background in establishing SLI/SLO frameworks, monitoring, and alerting for large-scale data systems.

• Demonstrated capability to lead complex, cross-team technical initiatives and achieve alignment among stakeholders.

• Experience in defining and scaling engineering best practices, including testing, CI/CD, and development standards for data systems.

🏝️ Benefits

• We respect your privacy and will connect with you separately from our interview process to accommodate your needs.