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Collibra Data Quality Analyst

CAI Open
Remote PA-CLIENT-STATE Full-time Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at CAI. Remote, United States · full-time · no salary stated · we estimate $99,518–$156,000 across the United States.

Estimated pay

CAI has not published a salary for this role. The figure below is our estimate, not theirs.

$99,518 – $156,000
What the middle half of mid-level data architecture & governance roles in the United States paid, among postings that did state a salary.
Worked out from 339 postings that stated pay, median $128,000. Last updated Nov 6, 2026.
RoleData Architecture & Governance
SeniorityMid-level
LocationPA-CLIENT-STATE
WorkplaceRemote
EmploymentFull-time
PostedMar 20, 2024
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build a Collibra DQ extract that supplies the TE Tableau Data Quality Scorecard
  • Connect Collibra Data Quality with Collibra DIP, and capture DQ scores in the Data Catalog
  • Produce detailed extracts of bad records and set access controls for business users
  • Create Collibra DIP remediation workflows and work with Customer, Vendor and Material owners on root causes and fixes

What you bring

  • Extensive hands-on experience with Collibra Data Quality and Collibra DIC or DIP
  • Experience building workflows in Collibra DIP and strong Tableau skills
  • Strong communication skills for working with data owners on remediation

Who this fits

This fully remote assignment suits a Collibra specialist who can work with minimal supervision. The assignment lasts at least six months.

From the employer

Collibra Data Quality Analyst

Req number:

R2146

Employment type:

Full time

Worksite flexibility:

Remote

Job Summary

As the Collibra Data Quality Analyst, you will be the SME for Collibra Data Quality and Collibra DIC while working with workflows and interfaces.

Job Description

We are looking for a Collibra Data Quality Analyst. This position will be 100% remote. This is a 6+ month assignment.

The individual should be able to perform tasks as directed, with minimal supervision. This individual will be the SME for Collibra Data Quality and Collibra DIC.

What You’ll Do

  • Create extract out of Collibra DQ to feed into the TE Tableau Data Quality Scorecard

  • Create interface between Collibra Data Quality & Collibra DIP

  • Record DQ score against Collibra Data Catalog

  • Build out detail extract of bad records.

  • Determine security model for business to access “bad” detail records

  • Create workflow in Collibra DIP for remediation

  • Work with data owners for Customer, Vendor & Material for RCA & data fixes

What You'll Need

Required:

  • Must have extensive Collibra Data Quality & Collibra DIC/DIP (Data Intelligence Platform) experience

  • Must be able to create Collibra DIP Workflow

  • Solid Tableau experience

  • Strong communication skills to work with Data Owners on remediation

Physical Demands

  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor

Reasonable Accommodation Statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Equal Employment Opportunity Policy Statement

It is the policy of CAI not to discriminate against any employee or applicant due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Employees and applicants of CAI will not be subject to harassment due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & GovernanceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.