Job Title: Solution Architect
Location: Chennai/Bangalore/Mumbai
About DataNimbus: DataNimbus is an enterprise AI company with deep vertical solutions in financial services and industrial sectors. We build domain-native AI that understands how industries actually operate, not just how data flows through them. Our solutions are outcome-driven and industry-specific, delivering measurable results across how money moves, how assets perform, and how businesses grow. We go deep so our customers don’t have to start from scratch.
Domain depth. Enterprise scale. AI outcomes.
Role Overview
In this role, you will lead the end-to-end architectural design for DataNimbus product implementations. You will collaborate with stakeholders to define data strategies, oversee the integration of DataNimbus into existing enterprise landscapes, and ensure the final solution is scalable, secure, and performant.
Key Responsibilities
● Solution Design: Lead the architectural blueprinting phase, ensuring the DataNimbus platform integrates seamlessly with client legacy systems, cloud environments (AWS/Azure/GCP), and third-party APIs.
● Stakeholder Management: Act as the primary technical point of contact for C-suite executives and technical leads, translating business KPIs into technical specifications.
● Data Governance & Security: Design robust data security models within the platform, ensuring compliance with global standards (GDPR, HIPAA, SOC2) and internal governance policies.
● Technical Leadership: Guide the engineering and delivery teams through the implementation lifecycle, providing hands-on support for complex ETL/ELT workflows and pipeline optimization.
● Performance Tuning: Identify bottlenecks in data flow and implement architectural shifts to ensure low-latency processing and high availability.
● Innovation: Stay ahead of the curve on data mesh, data fabric, and AI-driven orchestration trends to provide proactive recommendations for platform evolution.
What would help make your case:
● Platform Expertise – Proven experience with orchestration platforms (e.g., MuleSoft, Informatica, Boomi).
● Cloud Mastery – Deep understanding of cloud-native architectures and containerization (Docker, Kubernetes).
● Technical Stack – Proficiency in SQL, MongoDB, Python, or Java; experience with REST/SOAP APIs and Message Queues (Kafka, RabbitMQ).
● Soft Skills – Exceptional communication skills with the ability to explain “the why” behind “the how.”
