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Metadata Manager Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

Experience implementing data governance, metadata management, data quality, and data integrity controls * Proficiency with SQL and Python-based data engineering and automation * Experience with cloud ...

Data Steward

Marysville, OH · On-site

$87K - $103K/yr

Manage and enhance metadata repositories, documenting data lineage, definitions, and relationships. Work closely with stakeholders to ensure accurate and comprehensive metadata documentation.

Drive consistent use of cataloging, lineage, and metadata management tools. Thought Leadership & Mentorship * Serve as a senior technical mentor to data engineers, solution architects, and product ...

Knowledge of metadata management, data lineage, and data catalog concepts * Familiarity with data privacy, security, and classification policies * Proven ability to translate business requirements ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Good understanding of data warehouse and Metadata management concepts and Tools. * Good Knowledge in establishing the data lineage in Ab Initio Metadata Hub. * Ability to Lead and Manage a small team ...

... Design, Metadata Mgmt and Data Quality Mgmt Experience in Data Warehouse and Data Mart design and Development Strong knowledge in Unix and shell scripting Strong SQL and working experience in ...

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Metadata Manager information

See Ohio salary details

$26.1K

$77.7K

$130.7K

How much do metadata manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for metadata manager in Ohio is $77,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

How does a Metadata Manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a Metadata Manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What does a metadata manager do?

A metadata manager is responsible for organizing, maintaining, and ensuring the accuracy of metadata, which is data that describes other data within an organization. They often work with data management tools, develop metadata standards, and collaborate with IT and data teams to improve data accessibility and quality.

What are Metadata Managers?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.
What are the most commonly searched types of Metadata jobs in Ohio? The most popular types of Metadata jobs in Ohio are:
What are popular job titles related to Metadata Manager jobs in Ohio? For Metadata Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Ohio look for? The top searched job categories for Metadata Manager jobs in Ohio are:
What cities in Ohio are hiring for Metadata Manager jobs? Cities in Ohio with the most Metadata Manager job openings:

Lead Ab Initio ETL Developer

Purple Drive Technologies

Cleveland, OH • On-site

Full-time

Posted 21 days ago


Job description

Overview:
Role Description:
Lead and own all technical aspects of ETL projects from requirement till implementation. Strong technical skills in Ab Initio, UNIX shell scripting, SQL(Teradata Hadoop) and other scheduling tools. Hands-on experience with Cloud Storage and Cloud native ETL processing tools. Should have minimum 7 years of hands-on experience with Ab Initio ETL tool. Minimum 5 years of experience of working in Banking Domain. Basic knowledge in Python would be preferred. Extensively worked on Teradata or Hadoop as database using Ab Initio as ETL tool for large scale data integration. Good understanding of data warehouse and Metadata management concepts and Tools. Good Knowledge in establishing the data lineage in Ab Initio Metadata Hub. Ability to Lead and Manage a small team of Ab Initio developers both Onshore Offshore. Experience in working on Agile projects. Should have good communication skill and able to work with multiple vendors. Basics of Python
Essential Skills: Ab Initio, UNIX, Teradata, Hadoop, Google BigQuery, Google Cloud Storage, Basics of data processing tools in GCP and Python Basics