Solution Architect
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Key skills for this role
About the Role
Define data architecture, provide technical leadership, ensure governance, and manage stakeholder delivery for modern data platforms with strong integration skills.
Key Skills for This Role
Full Job Posting
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 And 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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