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 (, 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 (, Git, Bitbucket)
- Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams
Great-to-haves
- Google Cloud certification (, Professional Cloud Architect, Professional Data Engineer).
- Experience working with data visualization tools (, Looker, Looker Studio, Tableau).
- Familiarity with containerization and orchestration technologies (, Docker, Kubernetes).
- Knowledge of machine learning and artificial intelligence concepts.
- Experience with Azure and AWS
- Knowledge of security and compliance standards (, 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)