The Enterprise Data Architect is responsible for leading a team to develop standards, tools, and governance for capturing, modeling, storing, and delivering enterprise data.

Manage experienced professionals who have independence in assignments. Identify data-related business requirements and service standards, such as transaction processing speed, data mining and reporting capabilities, data security, and scalability. Develop a high-level enterprise data model and conceptual views of related data sub-architectures such as database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures. Optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. Implement policies and strategies for short-term and long-term results. Influence others outside their job area regarding policies, practices, and procedures.

Bachelor's degree in data architecture, computer science, MIS, IT, or other related area plus nine years related full-time paid experience OR a combination of related education and experience.

Experience with various data and web technologies in the cloud and on-premises. Experience as a Database Administrator, Data Manager, or Data Scientist is preferred, though experience in development or programming is also valuable. Experience in relational and dimensional data modeling, analytics, reporting, and visualization. Experience with SQL and web service integration, ETL, and knowledge of databases, data warehouses, Hadoop, and Spark. Experience with database performance tuning, scripting, and data quality tools. Knowledge of statistics, Python and R, machine learning, and data cleansing. Experience with team leadership, mentoring, and staff development.