Solution Architect
Skills
About This Role
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
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
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
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