Principal Architect, Data SRE

What you'll do

• Define the architectural direction and integration standards for observability, incident management, and automation platforms.
• Establish reusable enterprise patterns for service onboarding, SLIs, SLOs, error budgets, and automated remediation.
• Guide engineering teams in embedding reliability capabilities throughout the software delivery lifecycle.
• Create scalable architectural frameworks for APIs, automation workflows, and event-driven integrations.
• Develop secure production code and review code written by others to ensure alignment with security and governance standards.
• Create multi-year roadmaps for reliability tooling based on incident trends and operational feedback.
• Apply enterprise-authorized artificial intelligence to accelerate architecture analysis and design decisioning.
• Communicate technical trade-offs and reliability risks to engineers, product leaders, and executive stakeholders.

What we're looking for

• Formal training or certification on architecture concepts and 10+ years of applied experience.
• Extensive experience in software architecture, platform architecture, Site Reliability Engineering, or comparable technical leadership roles in large-scale enterprise environments.
• Hands-on experience delivering system design, application development, testing, and operational stability for distributed systems and production applications.
• Expertise in one or more programming languages and modern software engineering practices.
• Deep knowledge of cloud-native technologies, distributed systems, and enterprise technology platforms.
• Strong experience designing and improving production systems including observability, telemetry, monitoring, alerting, and service health capabilities.
• Experience with service-level objectives, error budgets, incident management, resiliency engineering, disaster recovery, and capacity planning.
• Demonstrated ability to establish reusable architecture patterns and drive adoption across multiple engineering teams.
• Experience designing integrations across developer platforms, operational tooling, service catalogs, and automation services.
• Experience applying enterprise-authorized artificial intelligence capabilities within architecture and engineering workflows.
• Ability to lead through influence across engineering, product, security, and senior stakeholder communities.
• Experience in financial services or other highly regulated, high-availability environments (preferred).
• Experience with Kubernetes, container orchestration, service mesh, and infrastructure automation (preferred).
• Experience designing and scaling internal developer platforms or engineering productivity platforms (preferred).
• Expertise with observability technologies, incident-response platforms, and automated remediation capabilities (preferred).
• Experience establishing service ownership models and operational governance frameworks across a large organization (preferred).
• Understanding of security architecture, data classification, and compliance requirements related to operational data (preferred).
• Experience mentoring architects and leading large-scale reliability or platform transformation initiatives (preferred).