Data Lineage Consultant

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Data Lineage Engineer

Job Details

Data Lineage Consultant
McLean, VA

Long Term

Contract

Lead the implementation of automated data lineage across a complex data estate that includes: o Cloud platforms (e.g., Snowflake, AWS) o Legacy relational databases and ETLs o NoSQL data stores o BI/reporting platforms (e.g., Tableau, Power BI) Implement or extend frameworks such as Spline, OpenLineage, or similar open frameworks to support active lineage capture Build connectors, extractors, or agents where necessary to bridge gaps between systems and lineage frameworks Integrate with metadata platforms (e.g., Collibra) to publish lineage in a consumable format Apply AI/ML techniques to infer lineage where automation is incomplete (e.g., handling Java based ETLs), using logs, query patterns, or usage metadata Develop reusable lineage components for operational reuse across domains Guide stakeholders on best practices for lineage standardization, storage, and use

Required Skills & Experience Proven experience delivering automated data lineage solutions across hybrid architectures Hands-on expertise with Spline, OpenLineage, Marquez, or comparable lineage frameworks Deep understanding of metadata capture, ETL process tracing, and query execution mapping Strong AI/ML background particularly in metadata intelligence, natural language processing for code parsing, or pattern detection Experience integrating lineage with data governance tools (e.g., Collibra, Alation, etc.) Strong programming background in Python, Scala, or Java Deep familiarity with SQL and query logs from systems like Snowflake, SQL Server, Oracle, MongoDB, etc.

Big Plus Skills Experience with third-party commercial data lineage solutions a plus (evaluations and implementations) Prior work in regulated environments (e.g., financial services, healthcare) Familiarity with event-based architectures for real-time lineage propagation Knowledge of data mesh or domain-driven lineage strategies

Ideal Candidate Has successfully implemented automated lineage at enterprise scale Operates at the intersection of data engineering, metadata management, and AI Can act as a technical thought partner to architecture teams and governance leads Brings the mindset of automation-first and reuse-oriented design

 

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