Lead Collibra Data Catalog & Lineage Architect

Purple Drive Technologies

Columbus (OH)

On-site

USD 110,000 - 140,000

Full time

2 days ago
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Job summary

Purple Drive Technologies seeks a Data Catalog & Lineage Specialist to lead the implementation of enterprise-wide metadata management and data lineage. You will design, implement, and operationalize data governance practices across cloud and on-premise platforms, partnering with data engineering and governance teams.

Expertise in Collibra, AWS-based data architectures, Snowflake, and relational databases is required to ensure data is discoverable, trusted, and compliant across the organization.

Qualifications

  • Experience with Collibra data catalog and lineage modules.
  • Strong knowledge of AWS data architecture (S3, Glue, Redshift, Lambda).
  • Expertise in Snowflake and relational databases.
  • Proven ability to implement data lineage and metadata management solutions.
  • Ability to identify and manage PII and sensitive data elements.

Responsibilities

  • Lead design and implementation of enterprise data catalog and lineage solutions using Collibra.
  • Develop 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 and compliant.
  • Drive adoption of data governance frameworks and best practices.

Skills

Collibra
Data Catalog
Data Lineage
Metadata management
AWS
Snowflake
Relational DB
PII Handling
ETL
Data Modeling
Stakeholder Mgmt
Data Governance

Tools

AWS Glue
S3
Redshift
SQL
Lambda

Job description

Purple Drive Technologies seeks a Data Catalog & Lineage Specialist to lead the implementation of enterprise-wide metadata management and data lineage. You will design, implement, and operationalize data governance practices across cloud and on-premise platforms, partnering with data engineering and governance teams.

Expertise in Collibra, AWS-based data architectures, Snowflake, and relational databases is required to ensure data is discoverable, trusted, and compliant across the organization.

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