Data System Architect

TL;DR

Data System Architect (Data Engineering & Monetization): Driving the strategic evolution of hirify.global's data platform by architecting scalable, distributed solutions for managing and leveraging data across SaaS and self-managed deployments with an accent on optimizing OLTP/OLAP performance and scalability requirements. Focus on embedding modern agentic and AI-driven patterns into data infrastructure and customer-facing solutions.

Location: Must be based in California/Colorado/Hawaii/New Jersey/New York/Washington/DC/Illinois/Minnesota

Salary: $157,900 - $236,900 USD

Company

hirify.global is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations.

What you will do

• 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, SDLC, versioning, and compliance practices.
• Build governed, monetizable data services and APIs that support internal operations/analytics and external SaaS product offerings.
• Partner with product and engineering teams to embed modern agentic and AI-driven patterns into data infrastructure and customer-facing solutions.
• Architect event-driven systems and cross-stack orchestration, supporting hybrid transformations through tools like Argo, Airflow, and Kubernetes with unified metadata-rich telemetry.

Requirements

• Experience architecting large-scale distributed data systems in complex, regulated domains with unified platforms integrating cloud-native compute, orchestration, and semantic modeling.
• Demonstrated leadership building multi-modal data services with strong developer experience principles.
• Hands-on expertise with modern data stack technologies including Python, Docker, Airflow, Trino, Postgres, distributed query engines, and graph-based metadata systems.
• Advanced knowledge bridging cloud and on-premises deployments with automation, developer self-service focus, and data integration through connector marketplaces.
• Deep understanding of data processing paradigms and standards including synchronous vs. asynchronous processing, schema management, logical data modeling, and formats like OpenTelemetry, OpenMetadata, and OpenLineage.

Culture & Benefits

• Benefits to support health, finances, and well-being.
• Flexible Paid Time Off.
• Team Member Resource Groups.
• Equity Compensation & Employee Stock Purchase Plan.
• Growth and Development Fund.
• Home office support.