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Data Lineage Jobs (NOW HIRING)

ClifyX

IDMC Data Lineage Developer

Stamford, CT · On-site

$56.75 - $74.75/hr

ClifyX is seeking an experienced Informatica IDMC Data Lineage Specialist to support their enterprise data governance and metadata management initiatives. The role focuses on implementing and ...

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How much do data lineage jobs pay per hour?

As of Sep 4, 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 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.

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 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.
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Infographic showing various Data Lineage job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,295 per year, or $58.3 per hour.

Data Lineage Solution Architect

Eversoft Technologies LLC

Charlotte, NC • On-site

Other

Posted 17 days ago

Job description

We are seeking an experienced Data Lineage Solution Architect to lead the architecture and design of enterprise data lineage solutions.

Key Responsibilities:

  • Own end-to-end Data Lineage architecture and solution design.
  • Define canonical data models and metadata standards.
  • Design data extraction and lineage strategies across enterprise systems.
  • Act as Design Authority and conduct architecture/design reviews.
  • Define technical integration patterns, APIs, and data flows.
  • Establish coding standards, best practices, and solution quality.
  • Collaborate with Data Engineering, Data Governance, Application, and Cloud teams.
  • Ensure solutions are scalable, secure, reliable, and maintainable.

Required Skills:

  • 13+ years in Data Architecture / Solution Architecture / Data Engineering.
  • Strong Data Lineage, Metadata Management, Data Modeling, and ETL/ELT experience.
  • Experience with enterprise data platforms, databases, APIs, and cloud technologies.
  • Strong SQL and architecture documentation skills.
  • Excellent technical leadership and stakeholder management.

Preferred: Collibra, Informatica, Alation, Microsoft Purview, Snowflake, Databricks, AWS Glue, DBT, or similar technologies.

 
 

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