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No of position :- ( 1 )
Post :- 24th Jan 2026
Bachelor’s degree in computer science, Information Technology, Data Science or a related field. – Required
Minimum 10+ years of experience in data architecture, data modeling, or a similar role. - Required
Proven experience in designing and implementing logical and physical data models. - Required
In-depth knowledge of data warehousing and data management concepts. - Required
Expertise in master data management principles and best practices. - Required
Strong understanding of data quality methodologies and data cleansing techniques. - Required
Experience with data governance frameworks and procedures. - Required
Excellent communication, collaboration skills to work effectively with technical, non-technical stakeholders within ODA and Ohio platform team - Required
Proficiency in SQL and data manipulation tools. - Required
Job Description:
The Ohio Department of Aging (ODA) is seeking a talented and results-oriented Data Solution Architect to join our growing team. In this role, you will play a pivotal role in driving data-driven decision making across the agency by implementing data governance and data analytics solutions. Your responsibilities will include:
Mandatory Requirements/Time
. Bachelor's degree in Computer Science, Information Technology, Data Science or a related field.
· Minimum 10+ years of experience in data architecture, data modeling, or a similar role.
· Proven experience in designing and implementing logical and physical data models.
· In-depth knowledge of data warehousing and data management concepts.
· Expertise in master data management principles and best practices.
· Strong understanding of data quality methodologies and data cleansing techniques.
· Experience with data governance frameworks and procedures.
· Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders within ODA and with the Innovate Ohio platform team.
· Proficiency in SQL and data manipulation tools.
Requirement Description:
· Design and implement logical and physical data models to ensure efficient data storage, retrieval, and analysis.
· Map data flows between various systems and applications to optimize data movement and minimize errors.
· Lead the development and implementation of a master data management strategy to ensure data consistency and accuracy across the organization.
· Develop and enforce data quality standards and processes to maintain the integrity of ODA's data and ensure smooth exchange with the Innovate Ohio platform.
· Champion and implement data governance frameworks and policies to ensure data security, privacy, and accessibility within ODA and when collaborating with the Innovate Ohio platform.
· Collaborate with cross-functional teams within ODA and with the Innovate Ohio platform team to understand business needs and translate them into technical data solutions that enable collaboration.
· Stay abreast of emerging data management trends and technologies, evaluating their potential application within ODA and for enhancing collaboration with the Innovate Ohio platform