Lead Data Solutions Architect

Role: Enterprise Data Architect

Experience: 15+ years Employment Type: Fulltime Work Location: Trivandrum/Kochi

Role Overview: As an Enterprise Data Architect, candidate will be one of our most senior technical visionaries and a hands-on expert responsible for designing and building transformative data solutions for our global clients. This is not a theoretical or "PowerPoint architect" role, this would be a deeply technical "player-coach" who thrives on solving the most complex data challenges by getting their hands dirty, writing code, and building prototypes. Candidate will leverage his/her vast experience across hybrid and multi-cloud environments to lead from the front, setting the technical standard for our entire data practice.

Key Responsibilities: Lead Technical Design: Architect and deliver enterprise-grade data platforms across on-premises, hybrid, and multi-cloud (AWS, Azure) environments, owning the technical roadmap from conception to implementation. Prototype & Innovate: Actively build proof-of-concepts and prototypes to validate architectural decisions, explore new technologies, and de-risk complex implementations. Code & Customize: Go beyond high-level design to write code for critical framework components and customize open-source (OSS) tools by diving into their source code to meet unique client requirements. Drive Pre-Sales Engagements: Serve as the ultimate technical authority in customer meetings and on RFPs/RFIs, architecting credible, hands-on solutions that inspire client confidence. Mentor & Elevate: Mentor senior engineers and architects, establishing best practices in coding, design, and deployment. Lead by example with a strong "get your hands dirty" work ethic. Troubleshoot & Optimize: Act as the final escalation point for the most challenging performance, scalability, and design issues, personally leading the effort to diagnose and resolve them. Experience Level: 15+ years of progressive, hands-on experience in data engineering and enterprise architecture. Hands-On Prototyping & Development: Demonstrable, recent experience in writing production-quality code, building prototypes, and directly contributing to the codebase. You must be comfortable and proficient in coding alongside engineering teams. Platform Architecture: Extensive experience designing and building large-scale, resilient data platforms from scratch across hybrid, on-premise, and multi-cloud infrastructures. Multi-Cloud Expertise: Deep, hands-on architectural and implementation expertise in at least one major cloud platform (AWS or Azure preferred), with strong familiarity with a second. Open-Source Mastery: Code-level expertise in at least one major open-source data framework (e.G., Spark, Flink, Trino). Proven ability to modify and extend OSS source code is a desired requirement. Architectural Fluency: Mastery of batch, real-time streaming, and event-driven architectural patterns and the ability to apply them to solve complex business problems. Pre-Sales Acumen: Significant experience leading the technical strategy for complex, high value RFPs and RFIs for global enterprise customers.

Soft Skills & Key Competencies: Strategic & Visionary Leadership: The ability to define a long-term data strategy that aligns with business goals, anticipate future trends, and inspire teams to build towards that vision. Executive Communication & Influence: Exceptional skill in articulating complex technical architectures and their business value to C-level executives, technical peers, and customers with confidence and clarity. Pragmatic Problem-Solving: A creative and analytical mindset, capable of deconstructing ambiguous problems and designing elegant, effective solutions while balancing technical purity with practical business constraints. Mentorship & Team Empowerment: A genuine passion for elevating the skills of others. Actively mentors’ senior engineers and architects, fostering a culture of technical excellence and collaborative ownership. Stakeholder Management: Proven ability to build strong relationships, manage expectations, and navigate complex organizational dynamics with both clients and internal teams to drive consensus and achieve success. Resilience & Composure: Demonstrates grace and effective leadership when faced with high-pressure situations, tight deadlines, and critical production issues. To adhere to the Information Security Management policies and procedures.