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Data Architect - Senior

Job in North Vancouver, BC, Canada
Listing for: ICBC
Full Time, Part Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100572 - 142494 CAD Yearly CAD 100572.00 142494.00 YEAR
Job Description & How to Apply Below

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Hours of Work: 7.5 hours per day - 5 day week (M-F)

Work Arrangement:
Hybrid 8

Salary Range: $100572.00 - $142494.00 Annually

Location:

North Vancouver, British Columbia, Canada

We welcome applications from all qualified job seekers.

Should you require any accommodations, including alternative interview formats, assistance with online assessments, or an ASL interpreter, throughout the application or hiring process, please email your request toac – we are committed to ensuring an accessible experience for all candidates.

At ICBC, we strive to build diverse teams which reflect the communities we serve. To support this, we’ve created two talent communities for Indigenous Peoples and People with Disabilities . By joining one of these communities, you’ll connect with our recruitment team who will guide you through the application process and help you explore opportunities  course, you’re welcome to apply for jobs at ICBC whether or not you join a talent community.

We look forward to hearing from you!

Position Highlights

ICBC is committed to delivering consistently high-quality customer service to all people living in British Columbia. If you are reliable and dependable, we welcome you to apply for this exciting opportunity.

As the consolidation point for all business intelligence and business analytics functions across ICBC, the Information Management team's goal is to empower the organization to drive efficiencies and savings across all facets of the business. This is achieved by delivering precise reporting, querying, statistical and descriptive insights, and performance measurements to both internal and external customers.

The Senior Data Architect will join the Information Management Corporate & DL team to provide technical leadership in the design, development, and implementation of enterprise data and analytics solutions for Corporate & DL business users.

Accountabilities
  • Lead the design and evolution of enterprise data architecture, including data lakes, data warehouses, analytics platforms, and cloud-native data ecosystems.
  • Lead the evolution of data architecture standards, practices, and delivery methodologies, including the adoption of AI-assisted design, development, governance, and documentation approaches.
  • Define and maintain conceptual, logical, and physical data models aligned with business and enterprise standards.
  • Partner with business and technology teams to translate business requirements into scalable, secure, and governed data solutions.
  • Establish architecture standards, reference patterns, and best practices for data ingestion, transformation, storage, and consumption.
  • Provide architectural leadership and oversight for cloud migration, modernization, and analytics initiatives.
  • Establish and promote data governance practices, including data quality, lineage, metadata management, stewardship, privacy, and compliance.
  • Mentor team members and foster collaboration across architecture, engineering, analytics, and business teams.
Position Requirements
  • Extensive experience designing enterprise data architectures in cloud and hybrid environments.
  • Strong expertise in data modeling, including dimensional modeling (star/snowflake schemas), fact/dimension design, and enterprise data architecture.
  • Extensive experience with modern data platforms, including data lakes, data warehouses, and cloud-based analytics solutions.
  • Strong knowledge of AWS data and analytics services and cloud-native architecture patterns.
  • Experience leading cloud migration and modernization initiatives involving legacy data platforms and large-scale data ecosystems.
  • Extensive experience establishing architecture standards, reference architectures, governance frameworks, target-state roadmaps and reusable design patterns across multiple teams and solutions.
  • Strong SQL, analytical, and data profiling skills with the ability to analyze large and complex datasets.
  • Strong understanding of data governance, data quality, lineage, metadata management, security, and privacy.
  • Excellent communication, stakeholder management, and leadership skills.
  • Experience with Agile delivery methodologies.
  • Hands-on…
Position Requirements
10+ Years work experience
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