Collibra Engineer: Data Governance & Workflows

Booz Allen Hamilton; Fort Meade (MD); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Collibra Engineer (Mid) to design and implement Collibra workflows for a health-care client. You will help advance data governance standards, manage classifications, and integrate data catalogs with cloud platforms.

A secret clearance and strong collaboration with security and engineering teams are required. You will contribute to shaping governance practices, enabling the business and technical teams with the right data while operating in a fast-paced,

Qualifications

• 2+ years in data governance or related roles.
• 1+ years implementing data catalog platforms.
• Experience with data classification and PII.
• Experience with REST APIs and enterprise system integrations.
• Experience with cloud data environments (AWS, Azure, or GCP).
• Knowledge of RBAC, IAM, authentication, authorization, and least privilege.
• Secret clearance.
• HS diploma or GED.

Responsibilities

• Design and implement Collibra workflows to support data governance processes.
• Drive adoption and maintenance of data governance standards across the organization.
• Collaborate with security, data engineering, and IT teams to enable governance initiatives.

Skills

Data governance

Collibra workflows

REST APIs

Cloud data environments

RBAC IAM security

Information security

Data classification

PII data handling

Security clearance

Education

HS diploma or GED

Tools

Collibra Data Governance Center

Snowflake

Databricks

ServiceNow

Job description

Booz Allen Hamilton is seeking a Collibra Engineer (Mid) to design and implement Collibra workflows for a health-care client. You will help advance data governance standards, manage classifications, and integrate data catalogs with cloud platforms.

A secret clearance and strong collaboration with security and engineering teams are required. You will contribute to shaping governance practices, enabling the business and technical teams with the right data while operating in a fast-paced,