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indeed

Senior Solutions Architect - Data & AI

Darwinbox
, KSA
Senior
3 weeks ago
Azure Data & AIAzure Data FactoryAzure SynapseMicrosoft FabricAzure DatabricksAzure Machine Learning
Free

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Azure Data & AIAzure Data FactoryAzure Synapse
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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, AI/ML solutions, and application architectures.
  • 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 optimized.
  • 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.

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, 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, Azure Data Engineer Associate, Azure AI Engineer Associate, 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

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