The primary function of this Sr. Enterprise Data Architect position is to provide architectural guidance, technological recommendations, and transition strategies. This role is critical for establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives.
Core Responsibilities:
Lead the establishment and enforcement of robust data governance practices, ensuring the accuracy, utility, and accessibility of data for organizational use.
Drive initiatives to maintain data integrity and compliance with regulatory standards.
Propose leading technologies, innovative technical solutions, and architectural strategies to address business challenges, meticulously evaluating their costs and benefits.
Continuously contribute insights and novel perspectives on business and technology, aligning with the strategic plans and directions of the enterprise.
Create data architectures spanning Data Warehouse, Big Data, Master Data Management (MDM), and Advanced Analytics (i.e. ML, Cognitive) technologies working with solution architects and application teams.
Provide expertise in data profiling, metadata governance, data specification, data flow mappings, and enterprise data models.
Research, understand and stay ahead of technology trends as it relates to data architecture and analytics, including ML, Artificial Intelligence (AI), and other analytics trends, and share that research within architecture
Provide technical consulting for application teams for data naming, classification, design, and handling as a part of the first line of defense for data controls in designing systems ensuring data base standards are followed.
