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Senior Solutions Architect - Data & AI

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Noventiq GCC
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 223200 - 334800 SAR Yearly SAR 223200.00 334800.00 YEAR
Job Description & How to Apply Below
  • Azure Data Factory / Synapse / Microsoft Fabric
  • Azure Databricks
  • Azure Machine Learning & AI Services (incl. OpenAI)
  • Microsoft Certified:
    Azure Data Engineer Associate
  • Microsoft Certified:
    Azure AI Engineer Associate

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.

Industry: IT/Cloud Services

Location:

Riyadh, KSA

Job Title – Senior Solutions Architect

Role Overview

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.

Key Responsibilities
  • Client Engagement & Solution Ownership
    • 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.
  • Data, AI & Application Architecture
    • 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.
  • Pre-Sales Leadership
    • 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.
  • Business & Strategic Alignment
    • 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.
  • Collaboration & Delivery Alignment
    • 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.
Required Skills & Expertise Technical – Data & AI
  • Strong expertise in Azure Data & AI ecosystem, including:
    • Azure Data Factory / Synapse / Microsoft Fabric
    • Azure Databricks
    • Azure Machine Learning & AI Services (incl. OpenAI)
  • 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.
Technical – Application & Integration
  • 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.
Professional
  • 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.
Language
  • Fluency in Arabic…
Position Requirements
10+ Years work experience
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