Solutions Architect

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Job Purpose 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. Key Responsibilities 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. 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. 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. Define appropriate technology stacks and tools for analytics solutions, maintaining a strong focus on cost-effectiveness, scalability, and future-proofing. Evaluate and integrate emerging technologies to enhance platform capabilities and differentiate solutions. 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. Performance Management & Optimization Oversee system performance tuning and capacity planning for analytics workloads. Guide continuous improvement and post-deployment optimization efforts. 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 Education : Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. 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. Technical Skills Expert knowledge of : Elastic Stack

(Elasticsearch, Logstash, Kibana) Splunk

(search, monitoring, visualization) Hands-on experience with : Relational and NoSQL databases (e.g., MongoDB, PostgreSQL) DevOps concepts including CI / CD and Infrastructure as Code High-availability, distributed analytics platforms Preferred Master’s degree in a technical or business field. Certifications such as : Elastic Certified Engineer Neo4j Certified Professional Splunk Architect Exposure to AI / ML-enhanced analytics platforms. Experience conducting technical workshops and mentoring engineering teams. 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 Technical Proficient 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 Seniority level

Mid-Senior level Employment type

Full-time Job function

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