Senior Data Architect

2 months ago

Mississauga, Ontario, Canada Bell Canada Full time
About the Role

We are seeking a highly skilled Senior Data Architect to join our team at Bell Canada. As a key member of our data engineering team, you will be responsible for designing and implementing cutting-edge data solutions in the cloud.

Key Responsibilities
  • Develop high-quality, scalable code and contribute directly to the development of data pipelines, ETL processes, and cloud-based solutions.
  • Provide technical leadership and mentorship to junior and intermediate data engineers, fostering growth and ensuring alignment with best practices.
  • Design and build robust, secure, and scalable data architectures that align with both business needs and long-term technical goals.
  • 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.
  • Work closely with other engineering teams, data scientists, and product managers to deliver integrated and comprehensive data solutions.
  • Ensure data governance and compliance with security, privacy, and regulatory standards across all data platforms and solutions.
  • Identify opportunities to innovate and improve existing processes, systems, and tools to enhance data quality, speed, and reliability.
Critical Qualifications
  • Bachelor's degree in Computer Science or closely related subject.
  • 7+ years experience in software development and architecture.
  • 2+ years developing data engineering components.
  • 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.
  • 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.
  • 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.
  • Strong inter-personal and communication skills, including written, verbal, and technology illustrations.
Preferred Qualifications
  • Knowledge of Linux/Unix and scripting skills.
  • 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, Git.
  • Strong experience with Agile/Scrum and DevOps principles, practices, and tools.

Adequate knowledge of French is required for positions in Quebec.

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