Data Governance -Collibra Developer
CapgeminiAbout the role
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Locations
Columbus OH (Local Candidates Preferred)
About the job you're considering
As the organization continues to expand its data ecosystem across cloud and on-premise platforms, there is a growing need to establish strong data governance, transparency, and trust in enterprise data assets.
We are looking for a Data Catalog & Lineage Specialist to lead the implementation and adoption of enterprise-wide data cataloging, metadata management, and lineage capabilities. This role is critical to ensuring data is discoverable, reliable, compliant, and traceable, supporting both business and regulatory requirements.
Summary of the Role
The Data Catalog & Lineage Specialist will be responsible for designing, implementing, and operationalizing metadata management and data lineage solutions. The role requires hands-on expertise in Collibra, along with strong knowledge of AWS-based data architectures, Snowflake, and relational databases.
This position will work closely with cross-functional teams, including data engineering, governance, and business stakeholders, to embed data governance practices and enable end-to-end visibility into data flows.
Your Role
- Lead the design and implementation of enterprise data catalog and lineage solutions using Collibra
- Develop and maintain metadata management frameworks and standards across the organization
- Enable end-to-end data lineage across cloud and on-premise systems
- Collaborate with business and technical teams to ensure data is discoverable, trusted, and compliant
- Drive adoption of data governance frameworks and best practices
- Identify and classify PII (Personally Identifiable Information) and ensure compliance with data protection policies
- Integrate metadata and lineage capabilities into AWS-based data platforms and Snowflake environments
- Support data quality, data stewardship, and regulatory reporting initiatives
- Provide leadership and guidance to cross-functional teams on data governance and lineage strategies
Required Skills & Qualifications
- Strong hands-on experience with Collibra (Data Catalog & Lineage modules)
- Solid understanding of data governance frameworks and best practices
- Experience with AWS data architecture (e.g., S3, Glue, Redshift, Lambda, etc.)
- Expertise in Snowflake and relational databases
- Proven experience in implementing data lineage and metadata management solutions
- Ability to identify and manage PII and sensitive data elements
- Strong knowledge of data modeling, ETL processes, and data integration
- Experience working in cross-functional and enterprise environments
- Excellent communication and stakeholder management skills
- Strong analytical and problem-solving abilities
Preferred Qualifications
- Experience in large-scale data governance transformations
- Familiarity with regulatory requirements related to data privacy and compliance
- Certifications in Collibra, AWS, or Data Governance (preferred but not mandatory)
The base compensation range for this role in the posted location is:$86,000 to $203.000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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