Collibra Data Engineer

Hybrid role urgent client needs Collibra Data Engineer

Collibra Data Engineer (D Workflow (BPMN), API)

Bellevue, WA 98006 - Hybrid

6 Months+

Must Have Skills:

Collibra DGC

Collibra Workflow (BPMN)

Collibra APIs

Detailed Job Description:

Key Responsibilities (EngineeringFocused) API, Integration & Automation

Design and implement APIdriven integrations to ingest abandoned, duplicate, archival, and sensitive data findings from Sec.ai 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 timestampdriven UPSERT logic and conflict resolution.

Automate bidirectional 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 BPMNbased workflows in Collibra for remediation, exception governance, approvals, and Directorlevel 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 evidencebased remediation workflows, supporting secure proofofremediation 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 crossplatform statuses from Sec.ai and Databricks.

Implement dataquality checks (completeness, consistency, timeliness) to ensure accurate remediation tracking and reporting.

Reporting, Analytics & Dashboards

Define technical reporting requirements and KPI semantics for:

Abandoned and duplicate data volumes

Remediation progress and aging

Exception trends

Evidence compliance

SLA performance

Define detailed sensitive data reporting requirements and collaborate with Databricks and BI teams to deliver executivelevel dashboards.

Testing, Validation & Delivery

Lead UAT and crossfunctional 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

Best regards,

Alvin Stuart - Lead IT Recruiter

Direct Number:

Email:

Hangout:

Princeton Forrestal Village;

CPUC, NCMSDC MBE

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