Builds a technology vision and data strategy to support all service lines or technical disciplines. Using a holistic approach, conducts enterprise analysis, design, planning, and implementation for the successful development and execution of strategy.
Documents and communicates the data strategy using multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, and adaptable manner.
Acts as the primary point of contact (SPOC) between D&T and the business for all things related to data architecture and strategy. Champion and serve as the lead cloud data architect for all data transformation programs
Extensive experience in Data Architecture work, including executing at least 3 large scale Data platform modernization and/or Data Migration projects from inception to production.
Several years of enterprise data integration and management experience working with Datawarehouse technologies, Data pipelines, and cloud data platforms
Partner to develop strategies and roadmaps for AI & machine learning and other advanced analytics areas (e.g., natural language processing, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes).
Should have min 4+ years of enterprise data strategy development
Should have min 8+ years of deep solution architecture with focus on data technologies
Should have min 5+ years of AWS/Azure data, Analytics and AI services
Should have min 5+ years in data platforms and integration tools such as Snowflake, Snaplogic, Collibra, Informatica etc
Working experience on BI analytics tools like Tableau, PowerBI
Recent strong experience in AI/ML, Generative AI, Large Language Models (LLMs)
Experience implementing ETL pipelines using custom and packaged tools
Should have min 5 + years of RDBMS experience
Should have Data modeling, Datawarehouse, data lake and datamart architecture experience