HCL Technologies - San Antonio, TX
posted 2 months ago
HCLTech is seeking a highly talented and self-motivated Data Architect to join its team in advancing the technological world through innovation and creativity. The ideal candidate will have a strong preference for experience in the financial sector and will possess a comprehensive understanding of data strategies and structures. This role requires a keen eye for detail and a commitment to excellence, as the Data Architect will be responsible for designing and implementing data solutions that align with the financial industry's standards and requirements. The Data Architect will develop and implement architectural strategies for metadata management, operational data stores, and ETL environments, focusing on scalability, efficiency, and performance. This includes defining and implementing data dictionary definitions, governance practices, and standards to ensure data quality and consistency across the organization. The role also involves designing and implementing scalable and efficient data storage solutions using Snowflake, optimizing for performance and cost-efficiency. In addition, the Data Architect will develop and manage cloud-based data architectures, ensuring scalability and security. Leveraging expertise in data modeling, warehousing, and mining, the architect will drive insights and decision-making. Collaboration with cross-functional teams to integrate data systems and streamline data flow is essential, as is maintaining a strong understanding of regulatory compliance and data governance within the financial domain. The Data Architect will review and analyze the organization's data infrastructure, recommending and implementing optimized database solutions. Conducting data quality assessments and implementing measures to enhance accuracy and integrity will also be part of the role. The architect will guide the adoption of new data technologies and methodologies to keep pace with industry trends, applying advanced skills in SQL, data modeling, and data warehousing to create efficient and effective data structures.