Senior Staff Software Architect - Cloud Data Platform & Industrial SaaS

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Senior Staff Software Architect- Cloud Data Platform & Industrial SaaS Level: Senior Staff Software Architect- Cloud Data Platform & Industrial SaaS Experience: 20+ years Reporting to: SVP, Engineering Role Type: Enterprise Platform Architecture Leadership Location: Santa Clara, CA Role Mission Picarro is building a hardware‑enabled Cloud Data Platform (CDP) to power multiple regulated industrial SaaS applications for Oil & Gas, chemical plants, and refineries, including emissions compliance (HON, RSR), leak detection, and workplace safety. The mission of this role is to define, own, and govern the Cloud Data Platform as a long‑lived enterprise SaaS foundation, enabling multiple products to be built quickly, consistently, and compliantly, without fragmenting data models, services, or architecture over time. This role exists to solve problems above the application level. Required experience includes architecting enterprise SaaS platforms , not just distributed applications; proven ownership of canonical data models and foundational platform services that support multiple products over long lifetimes ; track record preventing platform entropy as product count, regulations, and customers scale. What This Role Owns (Platform Scope) Canonical Information Architecture (Critical) Define and govern canonical, cross‑product data models that represent: Instruments, assets, and deployments Measurements and telemetry Events, investigations, and findings Regulatory evidence, audit artifacts, and lineage Ensure platform data models are: Independent of any single product or regulation Stable across hardware generations and SaaS releases Evolvable through explicit versioning and backward‑compatibility strategies Prevent schema drift, product‑specific forks, and accidental coupling between applications . In short, ensure that data models stay canonical and services stay platform‑level. Applications stay consumers - not redefiners - of the platform. Platform Services Architecture (Not Application Services) Design and own foundational platform services , such as: Identity, tenant, and environment lifecycle Asset and instrument registry Measurement normalization and provenance Regulatory evidence, audit, and traceability Data retention, purge, and legal hold Define clear boundaries between: Platform services (built once, reused everywhere) Application services (product‑specific logic and workflows) Establish governance so platform services remain durable and uncluttered by product needs Enterprise SaaS Platform Foundations Own the multi‑tenant SaaS architecture , including: Tenant isolation and hierarchy RBAC and authorization at platform scale Auditability, compliance‑by‑design, and data residency Ensure the platform can support multiple products, customers, and regulatory regimes concurrently. Design for 10+ year data lifecycles typical of regulated industrial customers. Architectural Governance & Decision Authority Serve as the final architectural authority for platform‑level decisions. Establish and enforce: Reference architectures Allowed and disallowed patterns Evolution and deprecation rules Balance short‑term delivery pressure with long‑term platform integrity and cost. Architect Leadership & Amplification Lead and align existing architects (e.g., platform data architects and application architects). Clarify decision boundaries: Platform architects define foundations and invariants Application architects extend the platform without redefining it Raise architectural maturity across the organization without centralizing all design work. What This Role Explicitly Is NOT Not a senior application architect Not a data‑pipeline or analytics specialist Not a product‑specific domain expert Not a hands‑on IC building features or workflows This role is about architectural ownership, coherence, and longevity . Required Experience & Profile Must‑Have 20+ years in software architecture, with clear ownership of enterprise platforms Prior experience designing or governing large‑scale SaaS platforms (e.g., Salesforce, Oracle Fusion, Adobe Cloud, ServiceNow, or equivalent) Proven expertise in: Canonical data modeling across multiple products Platform service architecture (not just microservices) Multi‑tenant SaaS security and compliance Executive‑level technical judgment and decision‑making credibility Strongly Preferred Experience with regulated industries (energy, industrial, healthcare, finance) Platforms integrating hardware / telemetry / edge systems Track record of building platforms meant to outlive individual products Success Looks Like New industrial SaaS applications launch without redefining data models or core services Regulatory capabilities are implemented once and reused across products Platform complexity grows sub‑linearly as products scale Architectural decisions are consistent, explicit, and durable Application teams move faster with fewer arch

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