Remote Data Catalog Engineer: Governance & Lineage

Fearless

Baltimore (MD)

Remote

USD 110,000 - 160,000

Full time

14 days+
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Job summary

Fearless is seeking a Data Catalog Engineer as part of our Consultant, Data & Analytics career path to support a federal agency's enterprise data modernization initiative focused on building and operating a secure, cloud-native data platform. The team delivers platform engineering, cloud infrastructure, data engineering, governance, AI/ML capabilities, and customer enablement to help modernize enterprise data services.

This is a fully remote role.

Responsibilities

  • Configure and maintain enterprise data catalog systems to ensure metadata accuracy, completeness, and accessibility across the platform.
  • Implement and manage data lineage tracking to provide transparency into data origins, transformations, and dependencies.
  • Define and enforce governance policies within Databricks Unity Catalog to support secure data access and compliance.
  • Collaborate with data stewards and business users to gather requirements and translate governance concepts into actionable catalog standards.
  • Establish and maintain taxonomies and metadata standards that improve data discoverability and usability across the enterprise.
  • Support data stewardship initiatives by providing technical guidance on catalog tooling and governance best practices.
  • Monitor and improve catalog quality through regular audits, validation processes, and stakeholder feedback.
  • Communicate metadata, governance, and data lineage concepts to technical and non-technical stakeholders, providing recommendations that improve data discoverability and trust.

Job description

Fearless is seeking a Data Catalog Engineer as part of our Consultant, Data & Analytics career path to support a federal agency's enterprise data modernization initiative focused on building and operating a secure, cloud-native data platform. The team delivers platform engineering, cloud infrastructure, data engineering, governance, AI/ML capabilities, and customer enablement to help modernize enterprise data services.

This is a fully remote role.

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