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60 Unity Jobs Hiring in British Columbia

Ubc

xR Developer

Vancouver, BC · On-site

Job Summary The duties and responsibilities of the student will include assisting with programming in Unity and other related software to create virtual reality, extended reality, augmented reality ...

Targeted Talent

Senior Storage Consultant

Vancouver, BC · On-site

$110K - $125K/yr

Experience with storage solutions such as EMC XtremeIO & Unity * Experience with Server Hardware preferably Nutanix (HCI) & Cisco UCS * Experience with virtualization such as AHV & VMware * A B.Sc ...

Targeted Talent

Senior Storage Consultant

Vancouver, BC · On-site

$110K - $125K/yr

Experience with storage solutions such as EMC XtremeIO & Unity * Experience with Server Hardware preferably Nutanix (HCI) & Cisco UCS * Experience with virtualization such as AHV & VMware * A B.Sc ...

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Data Governance Technical Consultant (Collibra)

Epsilon Solutions LTD

Vancouver, BC • On-site

Full-time

Re-posted 9 days ago

Job description

Role: Data Governance Technical Consultant (Collibra)
Location: Vancouver
Duration: Contract
  • Azure Databricks,Collibra,Databricks Unity Catalog,ETL,IT security,Informatica,JSON,Microsoft Azure Databricks,SGML format,XML,data cleansing,data formats,data governance,data integration,data management,data pre-processing,data privacy,data processing,data provisioning,data science,data science solutions,data security,file formats,information security,information technology,markup language,mathematics,programming,software development,statistics
  • Someone local to Vancouver is preferred. Calgary is second best
  • Teck - Internal/Interno
  • Data Governance Technical Consultant
  1. Overview
  • This Statement of Work (SOW) outlines the engagement of a Data Governance (DG) Technical Consultant to support the implementation of Collibra, with an initial focus on a pilot to establish scalable data governance practices across a modern data ecosystem built on Microsoft Azure and Databricks. The Technical Consultant will be taking direction from the DG Solution Owner, DG Solution Architect, and Manager of Enterprise Data.
  1. Objectives
  • Implement Collibra aligned with enterprise data governance strategy
  • Deliver a pilot focused on critical datasets
  • Define and implement metadata and data quality requirements
  • Enable integration with Databricks (Unity Catalog) and ecosystem tools
  • Provide foundational automation to support change management (dev to prod)
  1. Scope of Work
  • Includes:
  • Current design assessment
  • Collibra Configuration
  • Metadata Model
  • Integration with Databricks
  • Governance Workflows
  • Implementation and change management with documentation
  • Validation & Knowledge Transfer
  1. Technical Requirements
4.1 Collibra Platform Expertise
  • The consultant must demonstrate hands-on experience with:
  • Collibra Data Intelligence Cloud (or equivalent on-prem setup)
  • Configuration of:
  • Data Catalog
  • Business Glossary
  • Data Lineage
  • Data Helpdesk / workflows
  • Customization of:
  • Asset models and relationships
  • Domains, communities, and responsibilities
  • Workflow design using Collibra workflow engine
  • Role-based access control (RBAC) configuration
4.2 Metadata Management & Modeling
  • Design and implement custom metadata models in Collibra
  • Experience defining:
  • Critical Data Elements (CDEs)
  • Business and technical metadata schemas
  • Data classification frameworks (e.g., sensitivity, PII)
  • Metadata standards including:
  • Naming conventions
  • Required attributes and completeness rules
  • Experience aligning business glossary ? technical assets
4.3 Databricks & Modern Data Platform Integration
  • Hands-on exposure to integrating Collibra with:
  • Databricks Unity Catalog
  • Catalogs, schemas, tables, columns
  • Permissions and ownership mapping
  • Metadata ingestion from:
  • Delta tables
  • Notebooks / pipelines (where applicable)
  • Understanding of the following is a plus:
  • Lakehouse architecture
  • Medallion architecture (Bronze / Silver / Gold layers)
4.4 Integration & APIs
  • Experience using:
  • Collibra REST APIs
  • Collibra Import API / Edge / lineage ingestion
  • Ability to build or configure:
  • Automated metadata ingestion pipelines
  • Incremental metadata sync processes
  • Integration with:
  • Power BI Integration for (reports and models)
  • Familiarity with:
  • JSON / XML metadata structures
  • API authentication and security
4.5 Data Lineage
  • Experience implementing end-to-end data lineage in Collibra Data Lineage, including:
  • Source ? transformation ? consumption layers
  • (Nice to have) integration with:
  • Databricks lineage (Unity Catalog lineage where available)
  • External lineage tools (if applicable)
  • Ability to:
  • Map lineage across pipelines
  • Validate lineage accuracy with engineering teams
4.6 Data Quality Integration
  • Define and implement data quality rules for critical datasets
  • Integrate Collibra with data quality tools (if applicable)
  • Experience with:
  • Data quality dimensions (accuracy, completeness, timeliness, etc.)
  • Monitoring and surfacing DQ metrics in Collibra
  • Ability to link:
  • Data quality rules to data assets to business definitions
4.7 Governance Workflow Automation
  • Design and implement workflows for:
  • Data stewardship assignment
  • Glossary term lifecycle (create/approve/update)
  • Issue management and resolution
  • Experience with:
  • BPMN-based workflow configuration in Collibra
  • Notifications and task assignments
4.8 Security & Access Control
  • Implement governance-aligned access control:
  • Role-based access (RBAC)
  • Domain-level permissions
  • Align Collibra roles with:
  • Databricks roles and permissions
  • Understanding of:
  • Data privacy and compliance considerations
4.9 DevOps & Environment Management
  • Experience working across environments:
  • Dev / Test / Prod
  • Version control and deployment practices for:
  • Collibra configurations
  • Workflows and metadata models
  • Familiarity with CI/CD concepts (nice to have)
4.10 Performance & Scalability
  • Collaborate on Collibra implementation for:
  • Scalability across domains and datasets
  • Efficient metadata ingestion
  • Design for:
  • API usage
  • Job scheduling and ingestion frequency
  1. Deliverables
  • Fully configured Collibra pilot environment
  • Metadata model and governance standards
  • Databricks metadata ingestion pipelines
  • Configured workflows and RBAC
  • Data lineage and (if applicable) data quality integration
  • Technical documentation (architecture, integrations, workflows)
  • Knowledge transfer sessions
  • Scalable roadmap for enterprise rollout
  • Be a strong team contributor following an agile methodology
  1. Timeline (6-9 months)
  2. Required Skills & Experience (Enhanced)
  • 3+ Collibra implementations (end-to-end preferred)
  • Proven experience with:
  • Metadata modeling
  • API-based integrations
  • Workflow automation
  • Experience in data governance operating model implementation
  • Strong communication across business & technical stakeholders

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