Description
We are looking for an experienced Solutions Architect to lead the design and implementation of a data repository for General Sessions courts. This role involves developing a unified data model to integrate diverse data sources, enabling comprehensive analysis and reporting. Based in Cookeville, Tennessee, this is a long-term contract position that requires a hybrid work schedule, with two days in the office and three days remote.
Responsibilities:
Develop and deliver a strategic vision for the data architecture of the General Sessions Data Repository, ensuring alignment with organizational goals.
Design and implement robust data models that support comprehensive reporting and analytics across court operations.
Establish processes for managing metadata, ensuring its accuracy, consistency, and validity within the repository.
Conduct data quality assessments and implement methods to track and improve data completeness and consistency.
Plan and execute the integration of diverse data sources into the repository, ensuring seamless functionality.
Collaborate with stakeholders, including court personnel and IT teams, to address data requirements and strategic objectives.
Define and enforce data governance frameworks, including security, backup, and recovery protocols.
Select and implement tools and technologies that optimize data management and reporting capabilities.
Oversee data mapping processes, ensuring efficient data flow and alignment with analytical objectives.
Promote best practices in data warehousing and reporting methodologies throughout the organization.
Requirements
Proven experience in designing and implementing data repositories or data warehouses.
Strong understanding of data modeling methodologies and data processing best practices.
Proficiency in tools and technologies related to database development, integration, and reporting.
Familiarity with state and federal regulations governing data security and privacy.
Excellent communication and interpersonal skills for collaboration with diverse stakeholders.
Experience in metadata management and establishing data quality standards.
Ability to plan and conduct data capacity analyses and lifecycle management.
Knowledge of Oracle and Microsoft technologies preferred.
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