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Metadata Manager Jobs in Pennsylvania (NOW HIRING)

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain. * The ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain. * The ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain. * The ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain. * The ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain. * The ...

Trail Blazer Consulting LLC

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

... metadata management, and reference data governance. • Develop and optimize data models across relational databases, cloud platforms, and big data environments such as Snowflake, SQL Server, AWS ...

RXinsider LTD.

Senior Associate, Procurement

Exton, PA · On-site

$90 - $130/hr

The role will also support the administration and continuous improvement of West's Contract Lifecycle Management (CLM) platform, including contract templates, metadata management, workflow ...

New

Envestnet, Inc.

Director, Data Intelligence

Berwyn, PA · On-site

Leads a defined Data Intelligence function (i.e., data cataloging, metadata management, data quality analysis, and data lifecycle support), with accountability for execution, quality and timeliness.

Envestnet

Director, Data Intelligence

Berwyn, PA · Hybrid

Leads a defined Data Intelligence function (i.e., data cataloging, metadata management, data quality analysis, and data lifecycle support), with accountability for execution, quality and timeliness.

Envestnet

Director, Data Intelligence

Berwyn, PA · Hybrid

Leads a defined Data Intelligence function (i.e., data cataloging, metadata management, data quality analysis, and data lifecycle support), with accountability for execution, quality and timeliness.

Envestnet

Director, Data Intelligence

Berwyn, PA · Hybrid

Leads a defined Data Intelligence function (i.e., data cataloging, metadata management, data quality analysis, and data lifecycle support), with accountability for execution, quality and timeliness.

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Showing results 21-40

All JobsMetadata JobsMetadata Manager JobsMetadata Manager Jobs in Pennsylvania

Metadata Manager information

See Pennsylvania salary details

$27.6K

$81.9K

$137.8K

How much do metadata manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for metadata manager in Pennsylvania is $81,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $116,800.00 per year, depending on experience, location, and employer.

What is a metadata manager?

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.

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 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.

What are the most commonly searched types of Metadata jobs in Pennsylvania?

The most popular types of Metadata jobs in Pennsylvania are:

What are popular job titles related to Metadata Manager jobs in Pennsylvania?

For Metadata Manager jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Pennsylvania look for?

The top searched job categories for Metadata Manager jobs in Pennsylvania are:

Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $81,873 per year, or $39.4 per hour.

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

Re-posted 13 days ago

Job description

Data Engineer – Azure Databricks Contract-to-Hire Pittsburgh, PA – Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.
Required Competencies Competency Importance Proficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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