L4 Data Management
Burnaby, BC, CA Calgary, AB, CA Edmonton, AB, CA Toronto, ON, CA Vancouver, BC, CA
Join our team and what we'll accomplish together
We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.
We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.
Reporting to the Manager – Analytics and Business Intelligence Platforms, the DataOps Architect, will be responsible for designing, implementing, and supporting solutions to enable business product teams to drive value by realizing Analytics and Machine Learning use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, advanced AI tooling, improved speed to market and automation. This role will be an agent of change and support our evolving strategy, data, and analytics roadmaps as well as provide strong direction for our Cloud based Analytics and Business Intelligence platforms.
What you'll do
- Collaborate with Business and Product teams to enable valuable Analytics and Machine Learning use cases
- Design and implement DataOps and MLOps processes and automations using the latest tools to effectively operationalize Analytics and AI workflows
- Provision infrastructure and secure, reliable data-centric services and applications in the Cloud for Data & Analytics users across the TELUS enterprise
- Identify opportunities to make substantial improvements to the deployment and support of our DataOps environment demonstrating a DevOps mindset while improving our reliability and speed to market
- Foster internal and external stakeholder relationships, including building highly collaborative relationships with business product teams and technical teams
- Stay up to date of new software, tools, and organizations that are having an impact on the Analytics and Machine Learning landscape
What you bring
- You are passionate about Agile culture and DevOps practices
- You have a keen interest in Data Analytics and Machine Learning, and are familiar with the machine learning life cycle
- Considerable experience with the data offerings in Google Cloud Platform (e.g. BigQuery, Dataproc, Dataflow, Vertex AI)
- Considerable experience with GitOps, Kubernetes, and Containerization/Docker.
- You have experience in implementing CI/CD processes and integrating source code version control (e.g. GitHub) with automated workflows.
- You have hands on experience in Infrastructure-as-Code (e.g. Terraform, Pulumi) and the Python programming language
- You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
- You can communicate clearly and effectively in both technical and business matters, and are able to translate technical considerations into business implications
- You can pivot between supporting the urgent needs of the business and working on strategic initiatives
- You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
Great-to-haves:
- Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
- 5+ years of progressive and relevant work experience with data/analytics platforms, DevOps, and/or machine learning
- GCP Professional Certification