Senior Solutions Architect - Data & AI

Full-Time

Noventiq is expanding its team & is on the lookout for goal-oriented, self-driven & motivated individuals, to support the next phase of company’s growth strategy.

Location:

Riyadh, KSA

We are looking for a Senior Solutions Architect – Data & AI who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.

This role requires a self-driven, client-facing architect who is comfortable owning the entire solution lifecycle—from discovery to proposal—while specializing in modern data platforms, analytics, and AI/ML solutions on Azure
.

Fluency in Arabic is mandatory
, as the role will involve direct engagement with Middle East customers.

• Act as the primary solutions architect in customer discussions—owning conversations end-to-end without dependency.
• Lead CXO-level and technical workshops
  , translating business challenges into scalable Data & AI solutions.
• Independently drive solution discovery, architecture definition, and proposal creation
  .
• Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.

• Design and architect end-to-end enterprise solutions, including:
  • Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
  • AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
  • Application architectures (microservices, APIs, event-driven systems)
• Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
• Define data strategies, API strategies, and application integration models
  .
• Ensure solutions are scalable, secure, high-performing, and cost-optimize
• Lead the technical component of bids, proposals, and RFP responses
  .
• Develop high-quality solution artifacts
  :
  • Architecture diagrams
  • Cost models & TCO optimization
  • Implementation roadmaps
  • Value propositions aligned to business outcomes
• Participate in solution demos, PoCs, and design validations
  .

• Translate customer business goals into measurable data and AI outcomes
  .
• Identify opportunities for:
  • Data modernization
  • AI adoption and innovation
  • Upsell/cross-sell within existing accounts
• Balance technical excellence with commercial viability
  .

• Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
• Provide architectural oversight during initial delivery phases where needed.
• Mentor junior architects and engineers on Data & AI, and application architecture

• Deep understanding of:
  • Data architecture patterns (Lakehouse, data mesh, etc.)
  • Data governance, security, and compliance
  • AI/ML lifecycle and MLOps
• Experience in Azure-native and hybrid architectures
  .

• Strong experience in application architecture
  , including:
  • Microservices and distributed systems architecture
  • API design and management (REST, GraphQL, API gateways)
  • Event-driven architectures (Kafka, messaging systems)
• Experience with application modernization
  :
  • Monolith to microservices transformation
  • Containerization and orchestration (Docker, Kubernetes)
• Familiarity with integration patterns
  :
  • Data + application integration (ETL + APIs)
  • Middleware and enterprise integration platforms
• Understanding of frontend/backend separation and digital application stacks

• Proven track record of independently handling pre-sales engagements and closing complex deals.
• Strong ability to articulate business value, not just technical solutions
  .
• Experience working with Middle East clients is highly preferred
  .

• Fluency in Arabic (spoken and written) – mandatory

• 8+ years of experience in technology consulting / architecture
• 4+ years in Data & AI solutions architecture
• Strong pre-sales or consulting background with customer-facing roles
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

• Microsoft Certified:
  Azure Solutions Architect Expert

• Self-starter with the ability to operate independently in high-stakes environments
• Strong storytelling and executive communication skills
• Commercially aware with a solution-selling mindset
• Passion for Data, AI, and emerging technologies