Senior Business Intelligence Cloud/Data Architect (GCP)

Description

Our team and what we’ll accomplish together

Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Customer & Channel Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data, and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a highly skilled and experienced Senior Cloud/Data Architect specializing in Google Cloud Platform (GCP) to join our dynamic team. The ideal candidate will have a strong background in delivering BI/Data solutions, experience in designing and implementing automated CI/CD pipelines and test automation. This role will involve collaborating with cross-functional teams to architect, implement, and manage cloud-based data solutions while ensuring security, compliance, and optimal performance. As a senior team member, you will provide mentorship, support your colleagues, and help build their expertise and capabilities

What you’ll do

• Design, architect, and implement cloud-based data solutions on Google Cloud Platform (GCP) to support business intelligence (BI) and data analytics requirements
• Define/ Establish best practices for automated regression testing approaches to ensure the reliability and accuracy of data solutions
• Establish robust Change Management and release management strategies to ensure smooth deployments and minimize downtime
• Establish the Software Development Lifecycle (SDLC) process and best practices for cloud-based projects, including requirements gathering, design, development, testing, deployment, maintenance and documentation
• Define and communicate the cloud vision and strategy, aligning technical solutions with business objectives and future scalability
• Develop and maintain automated CI/CD pipelines for deploying data pipelines, analytics models, and applications
• Design and implement ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources into usable formats for analysis and reporting
• Implement compliance best practices to protect data assets and ensure regulatory compliance (e.g., SOX)
• Oversee configuration management processes to maintain consistency and scalability across cloud environments
• Implement API integration strategies to enable seamless communication and data exchange between systems and applications
• Design event-driven architectures leveraging GCP services such as Pub/Sub, Cloud Functions, and Dataflow to build scalable, responsive and resilient systems

Qualifications

What you bring

• Bachelor's degree in Computer Engineering, Science,, or related field
• Proven track record of delivering complex BI/Data solutions in a cloud environment
• Minimum of 7 years of experience in cloud architecture and data engineering, with a focus on Google Cloud Platform (GCP)
• 7+ years of experience - Proficiency in relevant programming languages and tools such as Pulumi, Python, SQL, PL SQL BigQuery, Dataflow, Looker, Looker Studio, etc
• Experience designing and implementing automated CI/CD pipelines using native GCP services and tools like Jenkins, GitLab CI/CD, or similar
• Strong understanding of regression testing methodologies and tools for data solutions
• Solid understanding of Change Management and release management principles and best practices
• Hands on experience with DevOps / SRE / automation
• Experience with code repositories and version control systems (e.g., Git, Bitbucket)
• Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

• Google Cloud certification (e.g., Professional Cloud Architect, Professional Data Engineer).
• Experience working with data visualization tools (e.g., Looker, Looker Studio, Tableau).
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with Azure and AWS
• Knowledge of security and compliance standards (e.g., SOX, GDPR) and best practices for cloud environments.
• Have designed data models for Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP) warehousing, ensuring optimal performance and scalability.

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

The TELUS Internal Title is L5 Data Management (level 65)