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The role of the Enterprise Data Architect is to expand Donaldson's use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and implementing capabilities and data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies, data processing best practices and data governance oversight.

Role Responsibilities:

• Develop and maintain the enterprise information architecture strategy including data models, data strategy (e.g. management, integration and optimization), data governance and other key strategy artifacts.
• Collaborate with business leaders to obtain strategic requirements, colleagues to lead project delivery, vendor partners on product selections and research partners to understand the industry technology architecture view.
• Create the conceptual architecture and data solution design for projects (conceptual model, integration model, sourcing) in alignment with the portfolio and enterprise data strategy.
• Translate enterprise or business needs into long-term information architecture patterns and solutions.
• Apply enterprise vision to projects and communicating different architectural models/strategies that are consistent with business strategies and comply with enterprise architecture direction.
• Provide governance oversight to ensure project adherence to information architecture strategy, principles, standards, policies, and procedures throughout all project phases.
• Develop and build strong relationships and use effective communication skills to influence and accomplish strategic information architecture objectives.
• Lead the development and evolution of the Enterprise Reference Architecture and the Information Architecture.
• Communicate and ensure adherence to sound data management principles as well as creating and managing meta-data and business rules for the use of data.
• Establish guiding principles and a reusable methodology for managing information architecture deliverables.

Minimum Qualifications:

• Bachelor's degree or equivalent in Computer Science, Engineering, or related technical field; or related work experience.
• 5 years of relevant experience
• Experience as a senior-level Data, Solutions or Technology Architect working on significant enterprise change initiatives.

Preferred Qualifications:

• Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
• Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
• Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
• Experience with database platforms, including Oracle, MS SQL Server, No SQL, SnowFlake
• Understanding of Web services (SOAP, XML, UDDI, WSDL).
• Experience with Azure, Databricks, Data Platform (Azure Data Factory, Azure Data Lakes, Azure Synapse)
• Experience in Data Modeling (Tabular), Power BI, SQL Server, and T-SQL Development
• Experience with canonical and message modeling
• Good knowledge of applicable data privacy practices and laws.

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Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.