Develop and lead comprehensive solution designs for data analytics platforms, driving innovation, ensuring optimal performance, and guiding technical teams in creating secure, scalable, and cost-effective systems tailored to data-intensive business needs. 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 (On-site)
Work Conditions: 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 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, with a focus on cost-effectiveness, scalability, and future-proofing.
- Evaluate and integrate emerging technologies to enhance platform capabilities.
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Security, Governance & Compliance:
- Define and enforce best practices for security, data governance, and compliance, particularly 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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Essential 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.
- Proven background in technical presales activities, including client interfacing and solution pitching.
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Technical Skills:
- Expert knowledge of Elastic Stack (Elasticsearch, Logstash, Kibana), Neo4j (graph databases), and Splunk.
- Hands-on experience with relational and NoSQL databases (e.g., MongoDB, PostgreSQL), ETL/ELT pipelines, and data integration strategies.
- Experience in DevOps concepts including CI/CD and Infrastructure as Code.
- Familiarity with high-availability, distributed analytics platforms.
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Preferred:
- Master’s degree in a technical or business field.
- Certifications such as Elastic Certified Engineer, Neo4j Certified Professional, and Splunk Architect.
- Exposure to AI/ML-enhanced analytics platforms.
- Experience conducting technical workshops and mentoring engineering teams.
Language Requirements:
- Proficiency in English is required.
Competencies:
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Behavioral:
- Strategic thinking with a consultative mindset.
- Strong leadership and cross-functional collaboration.
- Adaptable to dynamic technical and business environments.
- Outstanding communication and client presentation skills.
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Technical:
- Proficiency in designing secure, scalable data analytics architectures.
- Skilled in solution evaluation, system integration, and troubleshooting.
- Experienced in demonstrating business value through technology in presales settings.
