Senior Cloud Data Architect & AI Leader (Hybrid)

ICBC; North Vancouver; Hybrid; CAD 101,000 - 142,000; Full time

Job summary

ICBC is seeking a Senior Data Architect to provide technical leadership for enterprise data and analytics solutions across Corporate & DL. You will help design data lakes, warehouses, and cloud-native ecosystems and set standards for governance, security, and quality.

The role requires extensive experience in cloud/hybrid data architectures, data modeling, and leadership across cross-functional teams. A strong background in SQL, Python, Spark, and Agile delivery is highly valued, with

Qualifications

• Extensive experience designing enterprise data architectures in cloud and hybrid environments.
• Strong SQL, analytical, and data profiling skills.
• Experience with Agile delivery methodologies.

Responsibilities

• 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 AI-assisted design and governance.
• Define conceptual, logical, and physical data models aligned with business and enterprise standards.
• Partner with business and technology teams to translate requirements into scalable data solutions.
• Establish architecture standards, reference patterns, and best practices for data ingestion, transformation, storage, and consumption.
• Provide architectural leadership for cloud migration, modernization, and analytics initiatives.
• Establish data governance practices, including data quality and privacy.
• Mentor team members and foster collaboration across teams.

Skills

Data architecture

Data modeling

Dimensional modeling

Cloud platforms

AWS data services

Data governance

SQL

Python

Spark

Agile

Tools

Guidewire

SAP

Oracle

Jira

Control-M

Job description

ICBC is seeking a Senior Data Architect to provide technical leadership for enterprise data and analytics solutions across Corporate & DL. You will help design data lakes, warehouses, and cloud-native ecosystems and set standards for governance, security, and quality.

The role requires extensive experience in cloud/hybrid data architectures, data modeling, and leadership across cross-functional teams. A strong background in SQL, Python, Spark, and Agile delivery is highly valued, with