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Metadata Jobs in Massachusetts (NOW HIRING)

Tiger Analytics Inc.

Data Architect

Westwood, MA · On-site

$71.25 - $91.75/hr

Ensure consistent application of data governance, metadata management, and lineage standards across data domains. * Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift ...

Alkermes

Director, R&D Data Governance

Waltham, MA · On-site

Implement metadata management, data lineage, and data quality practices * Work closely with the INDIGO program and IT to recommend and help implement data standards, metadata, quality practices, and ...

Merck & Co.

Lead efforts to standardize critical data elements, metadata, taxonomies, master and reference data, and business terminology across the CMC digital landscape.Translate complex business needs into ...

State Street Corporation

Senior SIEM Data Engineer

Quincy, MA · On-site

$109K - $150K/yr

Analyze source log formats and define onboarding requirements, expected fields, metadata, routing needs, retention considerations, and downstream SIEM/analytics use cases. * Build and optimize ...

Merck & Co.

Lead efforts to standardize critical data elements, metadata, taxonomies, master and reference data, and business terminology across the CMC digital landscape.Translate complex business needs into ...

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All JobsMetadata JobsMetadata Jobs in Massachusetts

Metadata information

See Massachusetts salary details

$9

$17

$31

How much do metadata jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for metadata in Massachusetts is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $19.18 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What is a metadata specialist?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are the key skills and qualifications needed to thrive as a metadata specialist?

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What can you do with metadata?

A metadata specialist or professional manages and analyzes metadata to organize, categorize, and improve data retrieval and understanding. They use tools like metadata standards and schemas to ensure data consistency and may work with databases, digital assets, or information systems to enhance data accessibility and quality.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.

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

The most popular types of Metadata jobs in Massachusetts are:

What are popular job titles related to Metadata jobs in Massachusetts?

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

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

The top searched job categories for Metadata jobs in Massachusetts are:

Metadata jobs near you
Infographic showing various Metadata job openings in Massachusetts as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $35,747 per year, or $17.2 per hour.

Data Architect

Tiger Analytics Inc.

Westwood, MA • On-site

$71.25 - $91.75/hr

Full-time

Re-posted 23 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real-time streaming architectures using Kafka. This role drives alignment across business domains and enables high-quality, governed, and interoperable data for analytics and operational use cases.
Responsibilities:
  1. Develop and enhance canonical data models, semantic models, and domain-driven data contracts to enable cross-enterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support real-time streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well-governed data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around real-time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements
  • Significant experience with canonical data modeling and enterprise-wide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Hands-on experience with Kafka, including event modeling, schema strategy, and real-time pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Hands-on experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.

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