Principal Solution Architect

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. Your role involves leveraging deep technical expertise across multiple cloud platforms such as AWS, Azure, and GCP, data architecture paradigms, and modern data technologies to shape data strategies, drive innovation through areas like GenAI and LLMs, and ensure successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. You will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies while supporting pre-sales activities. Additionally, you will drive data and analytics modernization initiatives, apply data architecture best practices across industries, and integrate AI/ML capabilities into data solutions. To qualify for this role, you need at least 15 years of experience in IT, with a significant focus on data architecture, solution architecture, and data engineering. You should have deep, hands-on experience with major cloud platforms, including Azure and GCP, and expertise in integrating AI/ML capabilities like GenAI and LLMs. Exceptional leadership, communication, problem-solving, and analytical skills are essential, along with a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,