1

Data Lineage Analyst Jobs (NOW HIRING)

$109K - $144K/yr

Model and persist lineage as a queryable knowledge graph supporting impact analysis, root-cause ... Partner with the Firmwide Data Office, Risk, Compliance, and the divisional technology teams to ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Implement and maintain metadata repositories, enabling effective data lineage, data impact analysis, and data cataloging to support data governance and data lineage requirements. * Collaboration and ...

Perform data mapping, data lineage analysis, and source-to-target documentation. . Collaborate with business users, data architects, developers, and project teams to gather and document requirements.

Perform data mapping, data lineage analysis, and source-to-target documentation. . Collaborate with business users, data architects, developers, and project teams to gather and document requirements.

next page

Showing results 1-20

Data Lineage Analyst information

See salary details

$34K

$82.6K

$136K

How much do data lineage analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data lineage analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities of a Data Lineage Analyst?

As a Data Lineage Analyst, your daily tasks often include mapping the flow of data across different systems, documenting how data transforms and moves throughout the organization, and collaborating with data engineers, business analysts, and compliance teams. You’ll proactively investigate data quality issues, ensure adherence to governance policies, and update lineage documentation as new data processes are introduced or modified. This role involves a blend of independent technical analysis and teamwork, frequently requiring clear communication with stakeholders to clarify data definitions and support audit or compliance requests. The dynamic nature of the job offers daily variety and opportunities for continual learning as data landscapes evolve.

What are the key skills and qualifications needed to thrive in the Data Lineage Analyst position, and why are they important?

A Data Lineage Analyst requires strong analytical skills, attention to detail, and a foundational understanding of data management and governance, often supported by a degree in information systems, computer science, or a related field. Familiarity with data visualization software, data mapping tools, SQL, and certifications such as CDMP (Certified Data Management Professional) is highly beneficial. Excellent problem-solving abilities, effective communication, and the ability to collaborate across IT and business teams are valuable soft skills. These capabilities are crucial for accurately documenting data flows, ensuring regulatory compliance, and supporting data-driven decision-making within organizations.

What is a Data Lineage Analyst job?

A Data Lineage Analyst is responsible for tracking the flow of data across an organization's systems, ensuring data integrity, accuracy, and compliance. They document data sources, transformations, and movements to provide visibility into how data is used and managed. Their work is crucial for regulatory compliance, troubleshooting data-related issues, and optimizing data governance. They collaborate with data engineers, analysts, and business stakeholders to maintain transparency and improve data quality.

More about Data Lineage Analyst jobs
Data Lineage & Data Transmission

Data Lineage & Data Transmission

Donato Technologies, Inc

Charlotte, NC • On-site

Contractor

Posted 25 days ago

Be an early applicant


Job description

Title:  Data Lineage & Data Transmission 
Location: Charlotte, NC  (Onsite)
Number of Open positions - 1

Job Description: 

  • Resources need to help with efforts to do data lineage on our financial platforms. 
  • Understand point to point data transmission and data elements in a database schema in addition to data transformation layers like ETL tools. 
  • Need to have great analysis skills, SAP