Data Platform Engineer

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
"Summary - Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. Your role will require you to balance technical oversight with team management, fostering an environment of innovation and collaboration. Roles & Responsibilities- - Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills- -Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills- Proficiency in Snowflake Data Warehouse. - Strong understanding of data warehousing concepts and best practices. - Experience with ETL processes and data integration techniques. - Familiarity with SQL and database management. - Ability to analyze and optimize data workflows for performance. Additional Information- - The candidate should have 13+ years of experience in Snowflake Data Warehouse. - A 15 years full time education is required."