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Data Lineage Jobs (NOW HIRING)

Data Analyst with Lineage Experience: * Strong understanding of data lineage concepts, methodologies, and best practices. * Proficiency in data lineage and metadata management tools (e.g ...

The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. * The ...

The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. * The ...

The contractor shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. * The ...

The contractor shall oversee metadata management, data lineage tracking, and regulatory compliance for all datasets stored within the Data Lake environment. * The contractor shall integrate Unity ...

ND

$87K - $145K/yr

Data Lineage & Model Design: Design the end-to-end logical data model - from raw source through transformation layers to client-facing outputs. Document full data lineage so every published metric ...

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How much do data lineage jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data lineage in the United States is $58.31, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $89.90 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in data lineage roles, and how can they be addressed?

Professionals in Data Lineage roles often encounter challenges such as incomplete or inconsistent metadata, rapidly changing data environments, and difficulties in tracking data movement across complex systems. Addressing these issues typically involves collaborating closely with data engineers, architects, and business analysts to ensure accurate documentation and communication. Implementing automated data lineage tools and fostering a culture of data stewardship within the organization can also greatly improve visibility and reliability of data flows.

What are the key skills and qualifications needed to thrive as a data lineage analyst, and why are they important?

To thrive as a Data Lineage Analyst, you need strong analytical abilities, knowledge of data management principles, and experience with data mapping, usually backed by a degree in computer science, information systems, or a related field. Familiarity with data lineage tools like Collibra, Informatica, or IBM InfoSphere, and understanding of metadata management and SQL is crucial. Exceptional attention to detail, problem-solving skills, and effective communication help in collaborating with technical and business stakeholders. These skills ensure accurate tracking of data flow, compliance with regulations, and support for data-driven decision-making.

What is data lineage?

Data lineage refers to the process of tracking and visualizing the flow of data as it moves through an organization’s systems, from its origin to its final destination. It helps organizations understand where data comes from, how it is transformed, and where it is stored or consumed. Data lineage is crucial for ensuring data quality, compliance, and troubleshooting data-related issues. It also supports effective data governance by providing transparency and traceability for data assets.
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What cities are hiring for Data Lineage jobs?

Cities with the most Data Lineage job openings:

What states have the most Data Lineage jobs?

States with the most job openings for Data Lineage jobs include:

Infographic showing various Data Lineage job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,295 per year, or $58.3 per hour.

Data Governance -Collibra Developer

Purple Drive

Columbus, OH • On-site

Contractor

Posted 27 days ago


Job description

bout the job you're considering
As the organization continues to expand its data ecosystem across cloud and on-premise platforms, there is a growing need to establish strong data governance, transparency, and trust in enterprise data assets.
We are looking for a Data Catalog & Lineage Specialist to lead the implementation and adoption of enterprise-wide data cataloging, metadata management, and lineage capabilities. This role is critical to ensuring data is discoverable, reliable, compliant, and traceable, supporting both business and regulatory requirements.
Summary of the Role
The Data Catalog & Lineage Specialist will be responsible for designing, implementing, and operationalizing metadata management and data lineage solutions. The role requires hands-on expertise in Collibra, along with strong knowledge of AWS-based data architectures, Snowflake, and relational databases.
This position will work closely with cross-functional teams, including data engineering, governance, and business stakeholders, to embed data governance practices and enable end-to-end visibility into data flows.
Your Role
• Lead the design and implementation of enterprise data catalog and lineage solutions using Collibra
• Develop and maintain metadata management frameworks and standards across the organization
• Enable end-to-end data lineage across cloud and on-premise systems
• Collaborate with business and technical teams to ensure data is discoverable, trusted, and compliant
• Drive adoption of data governance frameworks and best practices
• Identify and classify PII (Personally Identifiable Information) and ensure compliance with data protection policies
• Integrate metadata and lineage capabilities into AWS-based data platforms and Snowflake environments
• Support data quality, data stewardship, and regulatory reporting initiatives
• Provide leadership and guidance to cross-functional teams on data governance and lineage strategies
Required Skills & Qualifications
• Strong hands-on experience with Collibra (Data Catalog & Lineage modules)
• Solid understanding of data governance frameworks and best practices
• Experience with AWS data architecture (e.g., S3, Glue, Redshift, Lambda, etc.)
• Expertise in Snowflake and relational databases
• Proven experience in implementing data lineage and metadata management solutions
• Ability to identify and manage PII and sensitive data elements
• Strong knowledge of data modeling, ETL processes, and data integration
• Experience working in cross-functional and enterprise environments
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving abilities
Preferred Qualifications
• Experience in large-scale data governance transformations
• Familiarity with regulatory requirements related to data privacy and compliance
• Certifications in Collibra, AWS, or Data Governance (preferred but not mandatory)