Required Skills

Data Architect

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 24th Jan 2026

JOB DETAIL

 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

Company Information