Solution Architect

CME

Architecture & Solution Design

• Define the end-to-end target architecture for the data platform, covering ingestion, integration, storage, processing, governance, and consumption layers
• Translate business and analytical requirements into scalable, modular, and reusable solution designs
• Select appropriate patterns (data lake, lakehouse, data warehouse, event-driven, batch/streaming) and reference technologies
• Define non-functional requirements (performance, availability, security, scalability) and ensure they are met

Technical Leadership

• Provide technical leadership across data integration engineers, data engineers, data scientists, and developers
• Set engineering standards, coding guidelines, design review processes, and architecture governance
• Mentor senior and mid-level engineers and unblock complex technical issues
• Lead architecture review boards and technical design walkthroughs with internal and external stakeholders

Stakeholder & Delivery Management

• Partner with business stakeholders, program leadership, and enterprise architects to align technical direction with business outcomes
• Estimate effort, identify risks, and define delivery roadmaps for technical workstreams
• Drive vendor and tool evaluations; lead proof-of-concepts and technology selection

Governance & Quality

• Ensure the architecture complies with enterprise security, data governance, and regulatory requirements
• Own technical quality across environments and enforce DevOps, DataOps, and CI/CD best practices
• Maintain solution architecture documents, decision logs, and reference architectures

Requirements

Technical

• 6+ years of experience in data and integration architecture, including hands-on engineering background
• Deep expertise in modern data platforms, including:
• Cloud data platforms (AWS, Azure, GCP, Databricks, Snowflake, or equivalent)
• Data lake / lakehouse / data warehouse design patterns
• Streaming and batch architectures (Kafka, Spark, Flink, etc.)
• Strong experience designing:
• ETL/ELT and data integration pipelines
• Master data and reference data solutions
• Analytics and reporting layers
• Solid understanding of data modeling (3NF, dimensional, data vault) and metadata management
• Experience with API-led integration, microservices, and event-driven design
• Hands-on familiarity with infrastructure-as-code, CI/CD, and DataOps tooling

Industry / Domain (Highly Preferred)

• Experience delivering data platforms in mining, metals, heavy industry, oil & gas, utilities, or other large industrial sectors is a strong plus
• Exposure to operational technology (OT) data, sensor / IoT data, ERP (SAP) integration, and supply chain analytics is highly valued
• Prior delivery experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

• Strong understanding of data governance, data lineage, and master data management
• Familiarity with data privacy, classification, and regulatory requirements (including local data residency considerations)
• Experience embedding security-by-design and audit-ready controls into data platforms

Soft Skills

• Excellent communication and stakeholder management at executive level
• Strong analytical thinking and structured problem-solving
• Ability to lead distributed, multi-vendor delivery teams
• Comfortable operating in high-pressure transformation environments

Education & Certifications

Preferred:

• Degree in Computer Science, Software Engineering, Data Engineering, or related field
• Cloud architecture certifications (AWS / Azure / GCP) are a strong advantage
• TOGAF or equivalent enterprise architecture certification is a plus

Additional Requirements

• Onsite presence in Riyadh required
• Experience working in large enterprise or government transformation programs
• Ability to operate in a multi-vendor delivery ecosystem