Distinguished Software Engineer, Data Platform

2 нед. назад

300k–320k USD / yearUSASeniorHybrid

architecturedata platformmulti-tenantreal-time datadata transformation

Lead the architecture and execution of a multi-tenant data platform integrating legacy data for operational, analytical, and AI-driven applications.

's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, is today helping organizations safely accelerate their deployment and usage of AI. is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit . Our platform serves hundreds of enterprise and government tenants, and much of the data that powers it is still locked inside isolated, per-customer systems that our newer mul

Multi-Tenant Data Platform Architecture &amp; Vision • Own the long-term architectural vision for unifying data spread across hundreds of isolated, per-tenant systems into one governed, multi-tenant data platform. • Define the target end-state architecture — ingestion, transformation, storage, and access — and the phased roadmap to get there, starting from the first application's needs and scaling to serve the entire portfolio. • Set the technical standards — schema governance, data contracts, tenant isolation models — that every consuming team builds against. Real-Time Data Movement; Integration • Architect a real-time data-replication strategy that moves data out of legacy, single-tenant systems into the platform with minimal latency, without requiring source application teams to re-

2-3 years of experience as a Distinguished Engineer in distributed systems and data engineering, including a track record of setting data architecture direction at an org-wide, multi-year level. • Deep, hands-on expertise with distributed database engines that support mixed transactional and analytical workloads at scale — internal architecture, benchmarking methodology, and real production trade-offs, not just theoretical familiarity. • Proven experience architecting real-time data-replication and streaming pipelines at scale, including schema evolution, delivery-guarantee tradeoffs, and multi-consumer fan-out. • Strong background in multi-tenant SaaS data architecture: tenant isolation models, per-tenant routing, and governed, self-service data access patterns. • Experienc