Alignity
Job Description
Do you love a career where you Experience
, Grow & Contribute at
the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the
meaning of work
, and be a part of the team raved by Clients, Job-seekers and Employees.
Jobseeker Video Testimonials Employee Glassdoor Reviews 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.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive
Talent Solution.
Requirements
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
Requirements
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.
Key Responsibilities
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 . Required Skills & Experience 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). Nice-to-Have / Big Plus Skills 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 . Ideal Candidate Profile 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.
Benefits
Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
CEO Message: Click Here
Clients Testimonial: Click Here
, Grow & Contribute at
the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
Learn how we are redefining the
meaning of work
, and be a part of the team raved by Clients, Job-seekers and Employees.
Jobseeker Video Testimonials Employee Glassdoor Reviews 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.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive
Talent Solution.
Requirements
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
Requirements
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.
Key Responsibilities
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 . Required Skills & Experience 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). Nice-to-Have / Big Plus Skills 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 . Ideal Candidate Profile 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.
Benefits
Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
CEO Message: Click Here
Clients Testimonial: Click Here