Data Architects align client business objectives with appropriate technology strategies to ensure successful data delivery. They improve business value by enhancing data utilization, refining information stewardship, and optimizing data flows. These professionals analyze complex business challenges to design and implement effective, modern solutions. They also serve as thought leaders who mentor internal talent and expand the organization's analytics capabilities. Furthermore, they lead technical teams through design and implementation phases while communicating architectural trade-offs to executive stakeholders.

Candidates must possess at least seven years of experience implementing various on-premises and cloud data management, integration, and analytical technologies. Advanced proficiency in modern data architecture, including cloud services, real-time data distribution, NoSQL, and data warehousing, is required. Applicants must demonstrate expertise in end-to-end data architecture solutions, including ingestion, storage, and relational modeling using SQL and Python. Additionally, the role requires experience leading enterprise engineering teams and recommending data governance best practices.