The Solutions Architect will develop and lead comprehensive solution designs for data analytics platforms, driving innovation while ensuring optimal performance. This role includes guiding technical teams in creating secure, scalable, and cost-effective systems tailored to data-intensive business needs. The architect will provide presales support and lead proof of concept (POC) efforts to demonstrate technical feasibility and business value to clients.
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 both 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.
- Lead presales technical engagements, including client workshops, product demonstrations, and responding to RFPs/RFIs.
- Deliver persuasive presentations to both technical and non-technical audiences.
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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 for iterative improvements.
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Technology Strategy & Innovation:
- Define appropriate technology stacks and tools for analytics solutions focusing on cost-effectiveness and scalability.
- 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 related 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.
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 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 (e.g., MongoDB, PostgreSQL) and ETL/ELT pipelines.
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Preferred Qualifications:
- 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 and experience conducting technical workshops.
Competencies:
- Strategic thinking with a consultative mindset.
- Strong leadership and cross-functional collaboration skills.
- Outstanding communication and client presentation skills.
- Proficient in designing secure, scalable data analytics architectures and demonstrating business value through technology in presales settings.
Language Requirements:
Fluency in English is preferred.
The Solutions Architect role is essential for driving the development of innovative data solutions that meet diverse client needs while maintaining high standards of performance and security.
