Principal Data System Architect, Data Engineering & Monetization

Lead architectural vision for scalable, distributed data systems supporting SaaS and self-managed deployments. Define enterprise data product standards, governance frameworks, and compliance practices.

Requirements

• Proven experience architecting large-scale distributed data systems in complex or regulated domains.
• Hands-on expertise with modern data stack technologies, including Python, Docker, Airflow, Trino, Postgres, distributed query engines, and graph-based metadata systems.
• Deep understanding of cloud-native and on-premises deployments, with a focus on automation and developer self-service.
• Knowledge of data processing paradigms, schema management, logical modeling, and telemetry/metadata standards (OpenTelemetry, OpenMetadata, OpenLineage).
• Experience with AI-driven architectures, model orchestration, and emerging standards like MCP.
• Strong architectural judgment for scalable, resilient, and cost-aware data solutions.
• Excellent collaboration, mentorship, and communication skills, with a passion for open-source and team-oriented culture.

Benefits

• Flexible paid time off
• Remote working options
• Equity compensation and employee stock purchase plans
• Parental leave and professional development fund
• Home office support
• Access to team member resource groups and inclusive company culture
• Opportunities to work on impactful projects that drive innovation and operational excellence