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