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Metadata Manager Jobs in Connecticut (NOW HIRING)

Argyle Infotech

R&D Domain Expert

Groton, CT · On-site

Experience: 10+ years in R&D data management (Clinical, Lab, or CMC), strong regulatory/scientific data expertise, metadata & lineage mapping, and excellent communication skills.

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Experience in ETL concerning metadata management and data validation * Experience in Linux and Git * Experience in Automation tools (Autosys, Cron, Airflow, etc.) * Exposure to AWS Services (i.e. S3 ...

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Cayuse Holdings

Business Analyst III

Hartford, CT · Remote

$108K - $153K/yr

... management reporting, and strategic decision‑making. This position aligns with Cayuse's core ... and metadata tools for data understanding and synthesis. * Promote a data‑driven culture by ...

Novocure

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

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All JobsMetadata Manager JobsMetadata Manager Jobs in Connecticut

Metadata Manager information

See Connecticut salary details

$26.2K

$77.7K

$130.8K

How much do metadata manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for metadata manager in Connecticut is $77,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 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 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 Connecticut? The most popular types of Metadata jobs in Connecticut are:
What are popular job titles related to Metadata Manager jobs in Connecticut? For Metadata Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Connecticut look for? The top searched job categories for Metadata Manager jobs in Connecticut are:
What cities in Connecticut are hiring for Metadata Manager jobs? Cities in Connecticut with the most Metadata Manager job openings:
Metadata Manager jobs near you

Lead Data Engineer (Snowflake, Airflow and Graph RAG) - W2 Role

Saransh Inc

Westport, CT • On-site

$119K - $143K/yr

Contractor

Posted 27 days ago

Be an early applicant

Job description

Role: Lead Data Engineer (Snowflake, Airflow and Graph RAG)
Location: New York, NY / Westport, CT (Onsite from Day 1)
Job Type: W2 Contract
Project Duration: 12 months
 
 
 
Requirements:
Technical Expertise:
  • Strong proficiency in Snowflake and Airflow (mandatory).
  • Deep knowledge of GraphRAG and Graph Data Structures.
  • Strong background in Data Architecture/Design with experience in market data sources.
 
AI and Integration Experience:
  • Experience integrating heavy AI-driven architectures.
  • Ability to share knowledge with project and client teams on Cypher, Graph, and RAG traversals.
 
Additional Skills:
  • AWS experience is a plus.
 
Responsibilities:
Data Integration and Management:
  • Identify and integrate structured, unstructured, and semi-structured data sources.
  • Implement RBAC and develop logical data models, ensuring compliance and data lineage.
  • Document business transformations and establish data quality rules.
  • Create a comprehensive data catalog and register data assets with metadata.
Design Implementation:
  • Translate and implement the architectural blueprint for the Data Factory.
  • Ensure robust data management and quality to support automated investment processes and AI-driven analytics.
  • Implement Neo4j-powered Knowledge Graph and ensure investment decision traceability.
Advanced Data Solutions:
  • Develop and maintain multi-dimensional asset ontology and temporal versioning.
  • Incorporate GraphRAG for transforming unstructured documents into queryable graph entities.
 
Security and Access Control:
  • Implement property-based access control and oversee real-time data ingestion pipelines.
 
Data Architecture and Management:
  • Oversee scalable data warehousing solutions using Snowflake.
  • Develop frameworks for data quality and governance, including metadata registration and sensitivity/security considerations.
 
 
 
Note: Visa Independent candidates are preferred