Senior Solutions Architect - Data & AI

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 (spoken and written) – mandatory
• Strong English communication skills

Experience & Qualifications

• 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

Certifications (preferred But Not Required)

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Designing Azure Solutions

Key Traits for Success

• 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

Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia