Distinguished Architect, Data Technology

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties BambooHR is seeking a Distinguished Architect to partner with the VPs of Software Engineering, Software Architects, and Cloud Engineering in leading the Bamboo Product’s Data Technology Architecture. In this role, the Distinguished Architect defines and stewards the architectural vision for our overall Data Technology. This position is accountable for the cohesive architecture of BambooHR’s product data platform, ensuring alignment and interoperability across domains in collaboration with domain architects and engineering leadership . The role includes defining the multi-year data platform architecture, establishing standards and guardrails, and mentoring and influencing architects and principal engineers to deliver a resilient , secure, compliant, and cost-efficient multi-tenant SaaS. You will: Set data storage vision & reference architectures for a resilient , secure, compliant, multi‑tenant SaaS: identity & permissions, tenancy, configuration, notifications, audit, and compliance guardrails. Architect and guide the evolution of our data storage technology: continuity of data, relational databases, replication strategy, caching, graphing, and multi-tenancy. Work closely with the platform on how these systems support UDM and API platform data innovation. Architect and influence data technology modernization : evolve BambooHR’s core data architecture—modernizing legacy systems, enabling scalable cloud-native patterns, and ensuring the platform is positioned for future innovation and growth. Collaborate with Product and Engineering leadership to define and communicate the product vision and strategy from a data architecture perspective—representing the architectural vision and tradeoffs to the executive leadership team to ensure alignment across business, product, and technology. Elevate how internal developers build on top of the data platform: evolve the Internal Developer Platform (IDP) to empower teams with standardized, self-service developer workflows, standard approaches, and self-service tooling that accelerate delivery and improve DORA metrics and time-to-first-service. Provide architectural guidance for Data & AI platform patterns : guide data modeling, streaming, analytics, AI/agent platform patterns, and evaluation/observability. Ensure reliability, security & compliance by design : public SLOs and error budgets, progressive delivery (canaries), chaos testing, multi-region DR; authN/authZ (OAuth2/OIDC/SAML; RBAC/ABAC), secure webhooks, audit logging; SOC 2/ISO 27001/GDPR baked into designs and pipelines. Guide growth, monetization & FinOps enablement : usage metering, entitlements, pricing tiers, quotas/rate limits; embed unit-economics telemetry (cost per call/event/tenant) to guide caching, capacity, storage tiers, and retention policies. Multiply architectural impact : run ADR/RFC processes, lead design reviews & guilds, mentor Staff/Principal engineers, and prototype to de-risk major bets and migrations. What You Need to Get the Job Done 10+ years designing and operating data storage technology at scale in cloud‑native SaaS (AWS/GCP, MySQL, relational, graph database, NoSQL, caching, event systems, progressive delivery). Proven ownership of data movement through developer portals and partner onboarding/marketplaces; shipped versioning/deprecation programs and webhook/event architectures (REST/GraphQL;…