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Metadata Engineer Jobs (NOW HIRING)

At the foundation of this platform is metadata, powering how customers discover, understand, govern ... Partner closely with engineering to define clear requirements, make effective tradeoffs, and ...

Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair). - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...

Informatica Metadata Manager

Charlotte, NC

$52 - $68.25/hr

Metadata Lineage * Design and implementation of a Metadata Repository. * Design and development of customizable interface for consumers of information within the Metadata Repository. * Support for ...

OR · On-site

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Define and enforce metadata standards, data models, ontologies, and data dictionaries to enable ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks. * Real-time Data Streaming: Build low-latency ...

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Metadata Engineer information

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$127.5K

$168.5K

How much do metadata engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for metadata engineer in the United States is $166,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $167,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Metadata Engineer, you need a strong background in data modeling, metadata standards, and database management, often supported by a degree in computer science or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, data catalog systems, and sometimes certifications in data governance are commonly required. Attention to detail, analytical thinking, and effective cross-team communication are crucial soft skills for this role. These skills ensure accurate metadata organization, support data discoverability, and enable effective data governance across an organization.

How does a Metadata Engineer typically collaborate with data governance and engineering teams?

Metadata Engineers play a crucial role in bridging the gap between data governance and engineering teams. They are responsible for designing and maintaining metadata repositories, ensuring data assets are well-documented and easily discoverable. On a daily basis, Metadata Engineers work closely with data engineers to implement metadata capture and lineage tracking, and they partner with governance teams to establish data quality and compliance standards. Effective collaboration is essential for maintaining data integrity and supporting organizational data strategies.

What are Metadata Engineers?

Metadata Engineers are specialized IT professionals who design, implement, and manage systems that capture, structure, and utilize metadata—data that describes other data—within an organization. Their work supports data governance, improves data discoverability, and enhances the consistency and quality of information across databases and platforms. Metadata Engineers often collaborate with data architects, data stewards, and business analysts to ensure that data assets are properly cataloged and easily accessible for analysis and compliance purposes.

What is the difference between Metadata Engineer vs Data Engineer?

AspectMetadata EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Information Systems, or related fields; certifications in data management or metadata standardsBachelor's in Computer Science, Software Engineering, or related fields; certifications in data engineering or cloud platforms
Work EnvironmentData management teams, data governance, data catalogingData pipelines, database architecture, big data platforms
Employer & Industry UsageTech companies, data-driven organizations, data management firmsTech companies, finance, healthcare, e-commerce, any industry handling large data sets

While both roles involve working with data, Metadata Engineers focus on managing data descriptions, standards, and catalogs to ensure data is discoverable and well-documented. Data Engineers build and maintain data pipelines and infrastructure to enable data analysis and reporting. Understanding these differences helps organizations assign the right roles for their data needs.

More about Metadata Engineer jobs
Infographic showing various Metadata Engineer job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $166,304 per year, or $80 per hour.
Product Manager - Metadata Platform

Product Manager - Metadata Platform

Snowflake

Bellevue, WA • On-site

$160K - $230K/yr

Full-time

Posted 25 days ago


Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake's AI Data Cloud is the unified platform and connected ecosystem of organizations building, using, and sharing data, applications, and AI. At the foundation of this platform is metadata, powering how customers discover, understand, govern, and operate on their data at scale.
As customer environments become increasingly complex and AI driven, Snowflake's metadata platform must evolve to be faster, more accurate, and more accessible. Core capabilities across Snowflake Backups, Cloning, and Metadata Entities are critical to ensuring data durability, enabling governance and cost visibility, and supporting emerging AI and open ecosystem use cases.
We are seeking a Product Manager to drive execution across Snowflake Backups, Cloning, and Metadata Entities. This role is ideal for an early career PM who wants to work on deeply technical platform problems, own meaningful end to end capabilities, and directly impact how customers protect and operate on their data.
In This Role, You Will
  • Own and deliver end to end platform capabilities across Snowflake Backups, Cloning, and Metadata Entities such as incremental backups, Iceberg backups, and metadata supporting AI and Terraform use cases
  • Drive measurable impact on key business outcomes, including increasing the amount of data protected through backup and disaster recovery capabilities
  • Improve how metadata is accessed, structured, and contextualized across the platform to support analytics, governance, and AI workloads
  • Partner closely with engineering to define clear requirements, make effective tradeoffs, and deliver high quality systems at scale
  • Translate ambiguous platform and customer problems into structured execution plans with clear milestones and success metrics
  • Collaborate with go to market and customer facing teams to drive adoption across capabilities you own.
  • Work cross functionally with teams across storage, compute, governance, and AI to ensure consistency and integration across the platform
  • Use data and metrics to prioritize work, evaluate impact, and continuously improve platform capabilities
Our Ideal Candidate Has
  • Bachelor's degree in Computer Science from a top tier undergraduate program
  • Early career experience as an Associate Product Manager or a background in investment banking, venture capital, or top tier management consulting
  • Strong analytical and problem solving skills, with comfort using data to inform product decisions
  • Interest in cloud infrastructure, distributed systems, and platforms that power enterprise AI and data workloads
  • Comfort using AI tools to improve productivity, insight generation, and execution.
  • Excellent written and verbal communication skills
  • A growth mindset and eagerness to learn from senior PMs and engineers

Why Join This Team?
This role offers the opportunity to work on foundational platform capabilities across Snowflake Backups, Cloning, and Metadata Entities, directly impacting how customers protect, understand, and operate on their data. You will gain hands on experience building and scaling metadata systems, contribute to critical business outcomes such as data protection and platform observability, and develop strong product fundamentals through close collaboration with experienced engineering and product leaders.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com