Principal Data System Architect, Data Engineering & Monetization
Skills
- Architecting large-scale distributed data systems in regulated domains.
- Building multi-modal data services with developer experience and governance focus.
- Hands-on expertise with Python, Docker, Airflow, Trino, Postgres, and distributed query engines.
- Knowledge of cloud and on-premises deployments with automation and developer self-service.
- Understanding data paradigms including synchronous/asynchronous processing and schema management.
- Experience with AI-driven architectures and model orchestration standards like MCP.
- Architectural skills optimizing cost-aware, resilient, scalable data lifecycle solutions.
- Passion for open source, team mentorship, and collaborative culture alignment.
Responsibilities
- Drive architectural vision for scalable, distributed data systems across SaaS and self-managed deployments.
- Define enterprise data product standards and governance frameworks including data lineage and compliance.
- Build governed, monetizable data services and APIs supporting internal and external SaaS offerings.
- Partner with product and engineering teams to embed AI-driven patterns into data infrastructure.
- Architect event-driven systems with orchestration tools like Argo, Airflow, and Kubernetes.
- Design end-to-end data lifecycle architecture including integration, pipelines, and metadata systems.
- Establish CI/CD best practices ensuring deployment, monitoring, and maintenance across environments.
- Lead strategic roadmaps and complex technical engagements to create competitive differentiation.
Education
- Bachelor’s degree in Computer Science, Engineering, or related field is typically expected.
Benefits
- Comprehensive health, financial, and well-being benefits.
- Flexible Paid Time Off policies.
- Access to Team Member Resource Groups for inclusion.
- Equity compensation and Employee Stock Purchase Plan.
- Growth and development fund for career advancement.
- Parental leave support.
- Home office equipment support.
Average salary estimate
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