The Solutions Architect is responsible for developing and leading comprehensive solution designs for data analytics platforms. This role drives innovation, ensures optimal performance, and guides technical teams in creating secure, scalable, and cost-effective systems tailored to data-intensive business needs. Additionally, the Solutions Architect will provide presales support and lead proof of concept (POC) efforts to demonstrate technical feasibility and business value to clients.
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Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time
Key Responsibilities:
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Solution Design & Architecture:
Architect end-to-end data analytics solutions, integrating tools such as Elastic Stack, Neo4j, and Splunk to meet functional and non-functional business requirements. Create detailed architecture documentation including system diagrams, data flows, and integration plans.
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Stakeholder Engagement & Presales Support:
Collaborate with business and sales teams to understand customer requirements and align technical solutions accordingly. Lead presales technical engagements, including client workshops, product demonstrations, and responding to RFPs/RFIs. Deliver persuasive presentations to both technical and non-technical audiences to communicate the value of proposed analytics solutions.
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Proof of Concept (POC) Execution:
Design, lead, and deliver POCs to validate architectural approaches and technologies for prospective clients. Define success criteria, oversee technical implementation, and gather feedback to iterate on proposed solutions.
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Technology Strategy & Innovation:
Define appropriate technology stacks and tools for analytics solutions, focusing on cost-effectiveness, scalability, and future-proofing. Evaluate and integrate emerging technologies to enhance platform capabilities and differentiate solutions.
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Security, Governance & Compliance:
Define and enforce best practices for security, data governance, and compliance in relation to analytics and visualization platforms. Assess and mitigate risks in data handling, storage, and analysis workflows.
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Performance Management & Optimization:
Oversee system performance tuning and capacity planning for analytics workloads. Guide continuous improvement and post-deployment optimization efforts.
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Vendor & Partner Collaboration:
Engage with third-party vendors and solution providers to evaluate technologies and manage integrations. Ensure compatibility and synergy between in-house systems and external platforms.
Experience and Qualifications:
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Education:
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
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Experience:
7+ years in solution architecture, data engineering, or systems design with a strong focus on data analytics platforms. Demonstrated experience leading POCs from design to execution and a proven background in technical presales activities.
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Technical Skills:
Expert knowledge of Elastic Stack (Elasticsearch, Logstash, Kibana), Neo4j (graph databases), and Splunk (search, monitoring, visualization). Hands-on experience with relational and NoSQL databases, ETL/ELT pipelines, and DevOps concepts.
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Preferred:
Master’s degree in a technical or business field. Certifications such as Elastic Certified Engineer, Neo4j Certified Professional, or Splunk Architect. Exposure to AI/ML-enhanced analytics platforms.
Competencies:
- Strategic thinking with a consultative mindset.
- Strong leadership and cross-functional collaboration.
- Outstanding communication and client presentation skills.
Language Requirements:
The job posting does not specify any language requirements.
