Lead Data Governance & Discovery Engineer

Elantis; Oakland (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Elantis is seeking an experienced Data Governance Engineer to lead enterprise data discovery, classification, and lifecycle management initiatives. The role emphasizes hands-on implementation across environments, with strong focus on governance, protection, and compliance.

The candidate will drive architecture, POCs, and operationalization, integrating governance with security and privacy programs. Prior experience with Collibra, Alation, or Informatica is preferred.

Qualifications

• Experience leading enterprise data discovery and classification initiatives.
• Hands-on experience implementing data lifecycle management capabilities.
• Strong governance platform experience with Collibra, Alation, or Informatica.
• Proven ability to translate governance requirements into technical solutions.

Responsibilities

• Lead enterprise-wide data discovery and classification initiatives across structured and unstructured data.
• Define enterprise data classification taxonomies, labels, and tagging standards.
• Own end-to-end implementation of data lifecycle management capabilities.
• Define retention, archival, and deletion strategies with automated workflows.
• Design and operationalize enterprise data governance frameworks.

Skills

Data Discovery

Data Classification

Data Lifecycle Management

Data Governance

DLP

Collibra

Alation

Informatica

Stakeholder mgmt

Enterprise data environments

Tools

Collibra

Alation

Informatica

Job description

Elantis is seeking an experienced Data Governance Engineer to lead enterprise data discovery, classification, and lifecycle management initiatives. The role emphasizes hands-on implementation across environments, with strong focus on governance, protection, and compliance.

The candidate will drive architecture, POCs, and operationalization, integrating governance with security and privacy programs. Prior experience with Collibra, Alation, or Informatica is preferred.