Senior Solutions Architect - Data & AI

Job Description 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 Show more Show less

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

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