As a Data Architect, you will play a pivotal role in owning the organization's data architecture and will be responsible for designing, building, implementing, and managing this architecture across all applications within the enterprise. The role demands a strong understanding of data modeling, database management, data warehousing, and data integration techniques, requiring impeccable communication skills and attention to detail. Additionally, you will collaborate closely with stakeholders, including data engineers, analysts, and business leaders, to ensure that data architecture aligns with organizational data strategy and requirements. In this position, you will design enterprise data management systems that will provide data insights to support the business in making key decisions. You will identify key systems of record and modernize data flow to support them. Developing and implementing the organization's data architecture strategy will be a key responsibility, including conceptual, logical, and physical data models, ensuring alignment with business goals and industry best practices. You will oversee the selection, implementation, and optimization of all data systems, ensuring efficient data storage, retrieval, and integrity. Establishing data governance policies, procedures, and standards will be essential to ensure data quality, cost, consistency, privacy, and security throughout the data lifecycle. You will identify and address performance bottlenecks within the data architecture through optimization techniques, indexing strategies, and data partitioning. Collaboration with cross-functional teams, including data engineers, analysts, developers, and business stakeholders, will be necessary to understand requirements, define data architecture solutions, and communicate technical concepts effectively. Staying abreast of emerging trends and technologies in data management, analytics, and cloud computing will be crucial, as you will evaluate their potential impact on the organization's data architecture and recommend adoption strategies accordingly. You will maintain comprehensive documentation of data architecture artifacts, including data models, data dictionaries, metadata repositories, and technical specifications. Continuously assessing and refining the data architecture framework, processes, and standards will enhance scalability, reliability, and performance in alignment with evolving business needs and technological advancements. Supporting and advocating for process improvement will result in higher quality data assets throughout the organization.