Data Architect

At TELUS Digital, we accelerate the worlds access to AI by empowering organizations to unlock the full value of their data. We are seeking a dynamic Data Architect to join our AI BI team. In this role, you will deliver actionable, data-driven insights that inform real-time decision-making and long-term strategy. Youll partner with cross-functional leaders, leverage cutting-edge AI and analytics tools, and help TELUS advance its mission of making AI more accessible, reliable, and impactful.

Key Responsibilities:
Design & Develop a Data Model: Design & maintain data model for TELUSs AI business to ensure data quality standards and efficient data processing

Data Strategy & Roadmapping: Define and implement a data strategy that supports both current and future business initiatives, identifying transformational opportunities to maximize data value.

Architectural Design & Implementation: Develop and maintain scalable data models, architectures, and pipelines using BI tools (e.g., Sisense) and cloud-based platforms (e.g., BigQuery) to support complex analytics needs.

Cross-Functional Collaboration: Partner with internal stakeholders (e.g., Analytics, Engineering, Product) to ensure the data ecosystem meets evolving business requirements and drives actionable insights.

Advocacy for Data Standards: Advocate in the organization for data best practices, fostering a culture of accountability, continuous improvement, and strong data governance.

Quality & Governance: Establish and maintain robust data quality standards and governance frameworks, ensuring reliable, trustworthy data.

Continuous Innovation: Stay current with emerging technologies, tools, and methodologies, continuously evolving the data architecture to improve efficiency, scalability, and accessibility.

Core Competencies:
Ability to translate complex business requirements into scalable data architectures

Strategic thinking and strong communication skills to align data initiatives with organizational goals

Leadership by influence, mentoring team members to achieve a data-driven culture

Strong problem-solving and adaptability in a rapidly evolving environment

Meticulous attention to data quality, security, and compliance

Functional Competencies:
Expertise in data modeling, warehouse design, and BI architectures

Hands-on experience with cloud-based databases (BigQuery), relational databases (Oracle, MySQL, SQL Server), and related GCP technologies

Proficiency in programming (Python, R, SQL) for data processing, integration, and automation

Solid understanding of data governance, data lineage, and data cataloging practices

Qualifications:
Bachelors degree in Computer Science, Information Technology, or a related technical field

3+ years of experience in data architecture design and implementation

3+ years of experience leading data projects and teams to deliver measurable business value

Demonstrated success in strategic planning, aligning data initiatives with business objectives, and effectively communicating that vision

Proven ability to mentor and develop diverse data teams, cultivating a high-performance and data-centric culture

Track record of implementing complex data models in enterprise BI tools (e.g., Google Looker Studio, PowerBI, Sisense) and leveraging cutting-edge data infrastructure and governance frameworks

If this opportunity sounds appealing to you, apply now!
Only shortlisted candidates will be contacted/interviewed.

Kindly attach an updated Copy of your CV in English.

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