IT Technology Lead | Data Management Meta Data | Collibra
Job Location:
Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
6 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 1 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate.
Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Technology Lead Data Management Meta Data Collibra Data Engineer - Data Protection
Work Location & Reporting Address: Bellevue WA 98006 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: $83 per hour max
Target Start Date: 13 Apr 2026
Does this position require Visa independent candidates only Yes
Must Have Skills:
Collibra DGC
Collibra Workflow (BPMN)
Collibra APIs
Nice to Have Skills:
Detailed Job Description:
Key Responsibilities (Engineering Focused)
API Integration & Automation
Design and implement API driven integrations to ingest abandoned duplicate archival and sensitive data findings from and Databricks into Collibra supporting pagination retries error handling and idempotent processing.
Define and manage versioned JSON schemas for findings exceptions evidence ownership and remediation status including timestamp driven UPSERT logic and conflict resolution.
Automate bi directional status synchronization across source systems Collibra and BI layers using APIs webhooks and scheduled jobs.
Metadata Modeling & Governance (Collibra)
Extend the Collibra operating model with custom asset types attributes relations and controlled vocabularies for data minimization strategies (Delete Archive Partial Valid Retention Exceptions).
Implement metadata validation rules required fields enumerations RBAC enforcement and segregation of duties for owners stewards and custodians.
Model lineage ownership and stewardship across cloud and NAS assets ensuring accurate mapping between datasets applications and platforms.
Workflow Engineering & Exception Management
Build and maintain BPMN based workflows in Collibra for remediation exception governance approvals and Director level escalations.
Implement workflow resets state transitions SLA timers and audit trails to support governance and compliance requirements.
Operationalize exception workflows including justification capture approval/rejection logic routing rules and SLA enforcement.
Remediation Evidence & Compliance
Design evidence based remediation workflows supporting secure proof of remediation uploads validation fields analyst fallback mechanisms and auditability.
Ensure remediation evidence aligns with privacy legal and governance standards including retention and access controls.
Data Quality Status Mapping & Alignment
Define a canonical remediation status model and map cross platform statuses from and Databricks.
Implement data quality checks (completeness consistency timeliness) to ensure accurate remediation tracking and reporting.
Reporting Analytics & Dashboards
Define technical reporting requirements and KPI semantics for:
1. Abandoned and duplicate data volumes
2. Remediation progress and aging
3. Exception trends
4. Evidence compliance
5. SLA performance
Define detailed sensitive data reporting requirements and collaborate with Databricks and BI teams to deliver executive level dashboards.
Testing Validation & Delivery
Lead UAT and cross functional validation with governance legal data engineering security and cloud platform teams.
Ensure workflows integrations and reports meet functional compliance scalability and usability standards.
Minimum Years of Experience:
12 years
Certifications Needed:
None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required)
No
Any additional information you would like to share about the project specs/nature of work: Project Code :DATA MANAGEMENT APPLICATION DEVELOPMENT
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
Limited to 1 submission per supplier. Please submit your best.
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidates interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate.
Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Technology Lead Data Management Meta Data Collibra Data Engineer - Data Protection
Work Location & Reporting Address: Bellevue WA 98006 (Onsite-Hybrid. Will consider candidates willing to relocate to client s location)
Contract duration: 6
MAX VENDOR RATE: $83 per hour max
Target Start Date: 13 Apr 2026
Does this position require Visa independent candidates only Yes
Must Have Skills:
Collibra DGC
Collibra Workflow (BPMN)
Collibra APIs
Nice to Have Skills:
Detailed Job Description:
Key Responsibilities (Engineering Focused)
API Integration & Automation
Design and implement API driven integrations to ingest abandoned duplicate archival and sensitive data findings from and Databricks into Collibra supporting pagination retries error handling and idempotent processing.
Define and manage versioned JSON schemas for findings exceptions evidence ownership and remediation status including timestamp driven UPSERT logic and conflict resolution.
Automate bi directional status synchronization across source systems Collibra and BI layers using APIs webhooks and scheduled jobs.
Metadata Modeling & Governance (Collibra)
Extend the Collibra operating model with custom asset types attributes relations and controlled vocabularies for data minimization strategies (Delete Archive Partial Valid Retention Exceptions).
Implement metadata validation rules required fields enumerations RBAC enforcement and segregation of duties for owners stewards and custodians.
Model lineage ownership and stewardship across cloud and NAS assets ensuring accurate mapping between datasets applications and platforms.
Workflow Engineering & Exception Management
Build and maintain BPMN based workflows in Collibra for remediation exception governance approvals and Director level escalations.
Implement workflow resets state transitions SLA timers and audit trails to support governance and compliance requirements.
Operationalize exception workflows including justification capture approval/rejection logic routing rules and SLA enforcement.
Remediation Evidence & Compliance
Design evidence based remediation workflows supporting secure proof of remediation uploads validation fields analyst fallback mechanisms and auditability.
Ensure remediation evidence aligns with privacy legal and governance standards including retention and access controls.
Data Quality Status Mapping & Alignment
Define a canonical remediation status model and map cross platform statuses from and Databricks.
Implement data quality checks (completeness consistency timeliness) to ensure accurate remediation tracking and reporting.
Reporting Analytics & Dashboards
Define technical reporting requirements and KPI semantics for:
1. Abandoned and duplicate data volumes
2. Remediation progress and aging
3. Exception trends
4. Evidence compliance
5. SLA performance
Define detailed sensitive data reporting requirements and collaborate with Databricks and BI teams to deliver executive level dashboards.
Testing Validation & Delivery
Lead UAT and cross functional validation with governance legal data engineering security and cloud platform teams.
Ensure workflows integrations and reports meet functional compliance scalability and usability standards.
Minimum Years of Experience:
12 years
Certifications Needed:
None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required)
No
Any additional information you would like to share about the project specs/nature of work: Project Code :DATA MANAGEMENT APPLICATION DEVELOPMENT
