Sr. Staff Systems Engineer

Responsibilities

• Own canonical data models and define how business concepts map across marketing, sales, billing, and product operations systems.
• Define and drive adoption of standards for data modeling, quality, testing, governance, and documentation.
• Lead complex migrations, system consolidations, and core integration re-implementations through design, validation, cutover, and stabilization.
• Build, review, and ship SQL and Python transformations and production data pipelines.
• Design validation, reconciliation, monitoring, alerting, and data quality frameworks for integration health, freshness, and accuracy.
• Lead root cause analysis and systemic remediation of complex cross-system data issues.
• Translate business requirements into data models and technical designs while aligning technical and non-technical stakeholders.
• Serve as a technical lead, review designs and code, and mentor engineers.
• Maintain design documents and current- and target-state data flow documentation.

Requirements

• 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with deep business data modeling and transformation experience.
• Expert SQL proficiency, including complex transformations, performance tuning, and large-scale reconciliation.
• Strong proficiency in Python or TypeScript and experience building production-grade, tested data pipelines.
• Hands-on experience with Salesforce, NetSuite, Coupa, Workday, or Zendesk data models, including a migration, organizational merge, or major re-implementation.
• Experience designing and delivering large-scale ETL/ELT solutions and related data quality, validation, and governance frameworks.
• Ability to evaluate short-term delivery versus long-term architecture trade-offs and communicate decisions clearly.
• Ability to lead through influence across technical and non-technical stakeholders without direct authority.
• Preferred experience with dbt or a similar transformation framework.
• Preferred experience with iPaaS platforms such as Celigo, Workato, or Boomi and reverse ETL tools.
• Preferred experience with AWS or GCP, infrastructure as code, and CI/CD for data pipelines.
• Familiarity with AI/ML capabilities for data quality, matching, and automation.

Benefits

• Full-time position based in the Oakland, California office with hybrid work indicated.
• 100% employer-paid medical insurance, subject to country and worker type.
• Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
• RSU stock grants.
• Professional development and training opportunities.
• Company virtual happy hours, free food, and team-building activities.
• Monthly cell phone stipend.
• Mental health support platform offering therapy, coaching, and self-guided mindfulness resources for employees and covered dependents.