Principle Data Architect

Job Description
This position is responsible for performing the duties of Principle Data Architect working closely with Stakeholders, SMEs and Data Stewards.
Responsibilities include
Act as a primary influencer and collaborator, working across teams to establish Architecture Patterns and Reference Architectures, promoting their adoption to align with business and technology strategies. 
Outline and continuously update the target state for enterprise data architecture, detailing the strategy for creating and utilizing official data sources. 
Serve as a key advisor on best practices in data governance and data architecture, conducting training sessions and workshops to enhance data literacy and governance adherence across the organization.
Lead the establishment and maintenance of a data catalog and metadata management practices, improving data discoverability and understanding across the organization.
Manage cross-functional teams in the execution of data governance and architecture projects, ensuring alignment with organizational goals.
Monitor and report on the effectiveness of data governance policies, recommending and implementing improvements as needed.
Guarantee alignment of new data initiatives and projects with the organization-wide target data strategy and architecture, which includes reviewing and approving key design documents. 
Establish and oversee technical data standards and patterns, granting exceptions where necessary. Ensure data architecture patterns are up-to-date, reusable, and clearly understandable. 
Collaborate with the security architect to set a comprehensive strategy for data security, access, and provisioning that meets security requirements and governance policies. 
Approve significant architectural changes to improve data quality. 
Develop reference architectures for the Enterprise data and the Data Governance team that support business and technology strategies. 
Utilize expertise in modern data management, analytics, and science practices to advance our goal of creating unique, data-driven capabilities. 
Promote architecture transformation, encouraging adoption and driving modernization across product and data teams.
This will be a highly dynamic environment where an energetic positive attitude, multi-tasking and the ability to jump in and add value is a requirement.
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