Senior Solutions Architect - Data & AI

Job Description

Role Overview

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**

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**

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**
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