Ness is a global Full-Lifecycle Digital Services Transformation company. Ness has been named a leader in overall Engineering, Research, and Development (ER&D) for three consecutive years by Zinnov Zones. The talent resource pool comprises 5000+ engineers across 11 innovation hubs in the US, Eastern Europe, and India. The company has delivered more than 5000 production releases per year. For more than 20 years, Ness has proved its specialized product engineering expertise and has a 5-star Forrester Agile Delivery rating.
Title: Cloud Data Architect Location: Ontario, Canada Full Time
Description: The Data Technology team is looking for a hands-on Principal Developer – Cloud Data Platform Engineering to join our transformational team with a focus on evolving the support model for data platforms/technologies in the cloud such as ADLS Gen 2, Azure Synapse, as well as jobs acquiring data from various systems and creating services to expose data for enterprise consumption. The data technologies/platforms will enable teams across Canadian Tire for business intelligences, data analytics, and data sciences purposes.
In this role, the successful candidate will drive our cloud data platform support strategy to ensure our jobs and platform are able to meet current and future needs. They will partner with teams across our organization to ensure we have a resilient, reliable, and responsive environment for the enterprise’s data, analytics, and data sciences purposes to help make us Canada’s #1 brand.
What you’ll do: Partner with a vendor team to establish an AI Ops model that enables end to end tracking, automation & self-healing, anomaly detection, event correlation & analysis, performance analysis, etc. Seek opportunities to optimize activities in the data platforms, support activities, processes, as well as implementing mechanisms to automate/streamline activities (e.g., automating administrative activities, infrastructure, and application deployments, etc.) Help oversee the end-to-end support of our Cloud Data Platform in collaboration with offshore support team, Platform Admins, and source/target system owners Diagnose and troubleshoot issues that occur on the data platforms and build automation to prevent problem reoccurrence. Act as incident and problem coordinator, where required. After hours and weekend support maybe required from time to time. Ensure code and products being transitioned by the development team to the support team are of high quality and meets design standards Create documentation and communicate with stakeholders on our support processes, cloud data platforms, technological capabilities, services, and provide knowledge transfer or training for other team members, where needed Commit to results by taking personal responsibility for achieving mutually agreed upon individual/team objectives and working collaboratively and cooperatively with others to achieve shared goals, objectives, and key results Responsible for collaborating with the Architecture teams to ensure all aspects of the platform architecture and design standards complement the support and AI Ops model
What you bring: Self-motivated, agile, and innovative team member, who can manage in an environment of change and ambiguity Strong leadership skills with proven ability to guide development/support teams to ensure best practices are being followed Successful candidate will have a passion for and hands on experience with automation of IT operations 3-5+ years of experience in progressive roles in delivery and support with expertise in the data space Data platform support, ETL concepts & support, data engineering, data architecture, Database administration, and data integration technology solutions, as well as application security models 2+ years of experience working with Cloud Technologies, with preference to Azure PaaS services 2+ years working in an Agile environment and familiarity with SDLC processes, including experience utilizing tools such as JIRA and Confluence Knowledge and practical experience with multiple popular programming languages (e.g., Python, Java, Spark, SQL, etc.) Broad knowledge across foundational technology domains including security, networking, and infrastructure Strong knowledge and experience with Microsoft Azure to install, configure, test, and deploy enterprise network infrastructure, including the use of ARM templates Strong knowledge of real-time and batch data processing, design & building Kafka pipelines for streaming data using spark or other comparable technology Working experience with GIT, Bitbucket, Jenkins, Artifactory, CI/CD, and Terraform is preferred Previous experience working in the retail industry is an asset
Education: Bachelor’s degree in computer science, Information Technology, Engineering, or related field is preferred Certification in one or more of the following technology subject areas is an asset: Azure/Cloud, Database, Data, Business Intelligence, Data Science/ML/AI
Ness is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.