Consulting Solutions Architect, Technology Alliances

Santa Clara · USD 205,000-308,000 / year · 5+ years experience · Hybrid · Posted Oct 8, 2026

At a glance

The Consulting Solutions Architect, Technology Alliances serves as the technical owner of strategic alliance relationships, working directly with partner architects, engineering, and product teams.
This role focuses on designing, validating, and launching joint technical solutions that enable both Everpure and its partners to drive business and pipeline.
It acts as a critical conduit between partners and Everpure Product Management to align roadmaps and resolve technical integration requirements.

Own the technical definition of joint solutions including use case selection, reference architecture, and integration design.
Execute joint labs, interoperability testing, and validated designs to ensure solutions stand up under customer scrutiny.
Bring partner requirements, such as integration gaps and API needs, back to Everpure Product Management.
Represent the Everpure roadmap to partner technical and product teams to align release timing.
Define plays, target use cases, and qualification criteria to translate joint solutions into pipeline.
Build technical evidence bases including positioning, competitive differentiation, and reference outcomes.
Support partner field and sales teams as an escalation point for joint solution architecture.
Establish technical credibility with partner architects, product managers, and CTOs.
Produce reusable technical assets such as reference architectures, sizing guidance, and deployment guides.
Orchestrate specialist and engineering support across the organization to deliver joint solutions.

5+ years in pre-sales, solutions architecture, or technical leadership.
Demonstrable record of building partner or alliance-led business.
Direct experience working with technology alliance partners, including building, certifying, and launching joint solutions.
Commercial fluency connecting technical design decisions to joint pipeline and business models.
Credibility across modern data platform architecture including block, file, object, and unstructured data at scale.
Working knowledge of compute, database, networking, virtualization, AI/ML data pipelines, and data governance.
Practical command of integration and API-driven infrastructure.
Ability to influence without authority across two organizations.
Strong written, diagrammatic, and verbal communication skills.