Partner Solution Architect , Quantexa
$180-240k
+ Bonus
Decision intelligence platform
Posted today
Decision intelligence platform
501-1000 employees
Posted today
$180-240k
+ Bonus
501-1000 employees
Company mission
To empower every organization with the right data to make the right decisions.
Role
Who you are
- Extensive experience in solution architecture, partner engineering, sales engineering, or technical consulting within a leading enterprise software or cloud ecosystem
- Expertise across cloud data platforms, AI/ML architectures, analytics, workflow systems, connectors, and enterprise integration patterns
- Experience designing and deploying joint solutions with hyperscalers (Azure/AWS/GCP), data platforms (e.g., Databricks, Snowflake), or industry ISVs
- Strong ability to translate platform capabilities into scalable partner architectures that work across large customer estates
- Practitioner-level experience with PoV governance, deployment frameworks, technical risk mitigation, and ecosystem-led project delivery
- Ability to influence partner CTO, architecture, and engineering leaders and to serve as a trusted technical advisor
- Ability to travel globally (~30–40%)
What the job involves
- The Partner Solution Architect is responsible for delivering the technical strategy, architecture expertise, and hands-on solution engineering that enables partners to build, validate, and scale production-grade solutions on our platform
- You will work directly with hyperscaler engineering teams, GSI architecture organizations, and strategic ISVs to:
- Design and harden joint solutions that drive ecosystem-led revenue
- Accelerate partner-led deployments, PoVs, and customer outcomes
- Ensure architectural governance, repeatability, and risk mitigation
- Champion our platform’s technical differentiation across AI, data, workflow, and decision systems
- This role blends deep technical execution with partner-facing leadership and cross-functional collaboration
- Architect partner-built integrations and solutions aligned to cloud marketplace incentives, AI/data platform interoperability, and enterprise workflow requirements
- Design and validate reference architectures, integration frameworks, connectors, and deployment blueprints for Microsoft Azure, AWS, GCP, Databricks, Guidewire-style industry ISVs
- Lead technical discovery, solution design workshops, and partner-led PoC/PoV architecture reviews
- Ensure partner solutions adhere to architectural guardrails, security standards, performance expectations, and governance disciplines
- Collaborate with Product & R&D to shape roadmap alignment, feature readiness, and co-innovation initiatives tied to partner demand
- Coach partners through hands-on build cycles—accelerating onboarding, PoV execution, and production deployment
- Own the technical enablement track for partners, including certifications, solution kits, sandbox environments, and demo platform adoption
- Develop reusable deployment patterns, quick starts, and prescriptive guidance that reduce time-to-value
- Support partner field teams with asset creation: demo scripts, architectural diagrams, integration templates, and reference materials
- Elevate partner technical maturity through workshops, lab engagements, and capability uplift sessions
- Contribute to hyperscaler/ISV co-innovation roadmaps by designing, validating, and launching marketplace-ready solutions
- Co-develop joint field delivery kits with partners, including solution guides, architecture patterns, and industry-specific use cases
- Work with GSIs to create factory-style solution delivery motions, ensuring repeatable integration patterns and aligned technical frameworks
- Conduct multi-party architecture governance for joint pursuits—ensuring compliance with security, interoperability, and workload optimization standards
- Identify opportunities for embedded/OEM models, co-developed offerings, and ecosystem-driven innovation
- Serve as a technical evangelist for our platform within partner communities, conferences, and field sales environments
- Educate partners on why our platform wins—architecturally, operationally, and commercially—across AI, data, workflows, and decision context
- Translate complex platform capabilities into compelling partner value propositions and solution narratives
- Influence and support competitive positioning against point solutions and incumbent cloud data/AI platforms
- You will be measured on partner-driven technical outcomes, delivery velocity, and solution scale
Our take
Quantexa specialises in data connectivity, offering companies a vital tool to streamline their information. By bringing together diverse data sets and enhancing internal information with external resources, it enables organisations to generate valuable insights, facilitating more informed decision-making processes.
Since its inception in 2016, Quantexa has experienced exponential growth, establishing a global presence with offices spanning various continents. Its clientele includes prestigious names such as HSBC and Shell, underscoring its reputation as a trusted partner in the realm of data analysis and interpretation.
Enterprises today recognise the untapped potential within their data repositories, and Quantexa is there to help them leverage this resource. One notable partnership has been with the British government's Public Sector Fraud Authority, where its technology helps combat fraud by applying its advanced analytics to identify and address fraudulent activity.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Mar 2025
$175m
SERIES F
Apr 2023
$129m
SERIES E
Total funding: $545m
Company benefits
- Pension Scheme with a company contribution of 6% (if you contribute 3%)
- 25 days annual leave (with the option to buy up to 5 days) + birthday off!
- Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts
- Tech & Cycle-to-Work Schemes
Company HQ
Waterloo, London, UK
Leadership
Vishal Marria
(CEO & Founder)Previously an Executive Director at EY, and Director of Financial Services at BAE.
Salary benchmarks
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