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If you are a Collibra Data Lineage Automation Engineer , looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
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Position Title: Collibra Data Lineage Automation Engineer
Location: Onsite – 5 days/week in McLean, VA
Work Type: 1099 / C2C / W2
Work Authorization: U.S. Citizens, Green Card holders, H1B, H4 EAD
We are seeking a highly experienced Collibra Data Lineage Automation Engineer to lead the design, implementation, and scaling of automated end-to-end data lineage solutions across a complex enterprise ecosystem. The ideal candidate will have deep expertise in lineage frameworks (e.g., Spline, OpenLineage) , a strong foundation in AI/ML-driven metadata intelligence , and proven experience delivering lineage automation in hybrid cloud and legacy environments .
This is a hands-on engineering role with significant influence on architecture, governance, and enterprise data strategy.
Lead the implementation of automated lineage across diverse systems:
Cloud platforms (e.g., Snowflake, AWS )
Legacy RDBMS and ETLs (e.g., SQL Server, Oracle )
NoSQL databases (e.g., MongoDB)
BI/reporting tools (e.g., Tableau, Power BI)
Design and extend lineage capture frameworks ( Spline, OpenLineage, Marquez ) for enterprise-wide adoption.
Build custom connectors, extractors, and agents to capture lineage in systems not natively supported.
Integrate lineage with metadata/governance platforms ( Collibra, Alation ) to ensure usability and traceability.
Apply AI/ML techniques to infer lineage from logs, query patterns, or unstructured code (e.g., Java-based ETLs).
Develop reusable lineage components and promote automation-first, reusable design principles.
Collaborate with architecture, governance, and engineering teams to define lineage standards, storage models, and best practices .
Proven success implementing automated lineage solutions in hybrid environments (cloud + legacy).
Hands-on experience with Spline, OpenLineage, Marquez , or similar open-source lineage frameworks.
Deep knowledge of metadata capture, ETL tracing, and query execution mapping .
Strong AI/ML background , with experience in:
Metadata intelligence
NLP-based code parsing
Pattern detection in lineage gaps
Programming expertise in Python, Scala, or Java .
Strong SQL skills with hands-on exposure to logs/queries from Snowflake, SQL Server, Oracle, MongoDB , etc.
Experience integrating lineage into data governance platforms (e.g., Collibra, Alation).
Hands-on experience with commercial lineage tools (evaluation or implementation).
Background in regulated industries (finance, healthcare, insurance).
Familiarity with event-driven architectures for real-time lineage propagation.
Exposure to data mesh and domain-driven lineage approaches .
Has successfully delivered automated lineage at enterprise scale .
Operates at the intersection of data engineering, metadata management, and AI innovation .
Acts as a strategic thought partner to architects, governance leads, and business stakeholders.
Brings an automation-first, reusable component mindset to all lineage solutions.
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