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Senior Data Architect
2 months ago
We are seeking a highly skilled Senior Architect in Data Engineering to join our Wireless Network Operations and Intelligence team. As a key participant in the development of Big Data and Data Science products, you will ensure the products and services built in-house or supplied by vendors meet expectations and drive value for our customers.
Key Responsibilities- Design and implement cutting-edge data solutions in the cloud, leveraging industry-leading best practices and modern technologies.
- Provide technical leadership and mentorship to junior and intermediate data engineers, fostering growth and ensuring alignment with best practices.
- Collaborate with stakeholders to deeply understand business operations, data requirements, and pain points, ensuring data solutions support key business outcomes.
- Champion the use of proven engineering best practices, including CI/CD, automated testing, code reviews, and version control, to maintain high-quality standards.
- Continuously evaluate and optimize data pipelines for performance, cost-efficiency, and scalability in cloud environments.
- Stay up-to-date with the latest advancements in cloud platforms, big data tools, and data engineering practices, ensuring that solutions leverage cutting-edge technologies.
- Bachelor's degree in Computer Science or closely related subject.
- 7+ years experience in software development and architecture.
- 2+ years developing data engineering components, including Kafka, DataFlow, Cloud Functions, Pub/Sub, BigQuery, Sqoop, and Hive.
- 4+ years understanding of traditional ETL tools and Data Warehousing architecture.
- 2+ years coding in Scala/Spark, Spark Streaming/Java.
- Solution Architect and/or Data Engineer Cloud Certifications (GCP Preferred).
- Solid knowledge of cloud-based and micro-services architecture.
- Expert in SQL/NoSQL or other query languages.
- Experience with Infrastructure as Code (Terraform or GitLab CI/CD).
- Knowledgeable in data pipeline monitoring, orchestration, and logging.
- Mapping current and future business requirements to the overall data model.
- Designing datasets and table architecture to ensure proper data governance.
- Strong understanding of Batch vs Streaming transformations.
- Minimizing costs per required business need for data processing and storage.
- Experience in software and system testing and operations support.
- Strong leadership and team-building skills, and must be able to collaborate effectively with a group of high-performing individuals.
- Knowledge of Linux/Unix and scripting skills.
- Hands-on experience with setting up containerized environments (e.g., Kubernetes, Docker).
- Experience with handling HSPII datasets and familiarity with privacy regulations.
- Experience with predictive analytics techniques (e.g., predictive modeling, statistical programming, machine learning, data mining, data visualization).
- Practical knowledge with DevOps tools and programming/scripting languages such as Python, Bash, PowerShell, Go, Ansible, and Git.
- Strong experience with Agile/Scrum and DevOps principles, practices, and tools.
Bell Canada is a leading telecommunications company in Canada, providing a wide range of services including wireless, internet, TV, and home phone. We are committed to delivering innovative solutions that meet the evolving needs of our customers.
We value diversity and inclusion, and we are committed to creating a workplace that is welcoming and inclusive for all employees. If you are passionate about technology and customer service, and you are looking for a challenging and rewarding career opportunity, we encourage you to apply for this role.
