Senior Data Engineering Architect
About The Position
This role is responsible for building the data foundation that powers reporting, analytics, operational decision-making, and machine learning across BC Transit. The position reports to the Manager, Enterprise Data & Analytics and involves designing, building, and maintaining automated data pipelines that transform raw data into reliable, scalable, and reusable data products. The role goes beyond simply moving data; it aims to shape the future of the organization's data engineering practice by introducing best practices, improving standards, recommending new approaches, and helping the team evolve its capabilities. The work involves a variety of technologies including cloud data platforms, lakehouses, warehouses, and Data/MLOps practices. Collaboration with project teams, vendors, architects, analysts, and technical stakeholders is key to solving new and complex challenges. As a senior member, the role includes mentoring other data engineers, contributing to technical decision-making, and establishing engineering patterns for organizational adoption. The day-to-day can vary, including troubleshooting ingestion issues, designing lakehouses, building feature engineering pipelines, or defining the future roadmap for data engineering.
Requirements
- Deep understanding of modern data engineering practices and scalable data architecture patterns.
- Strong commitment to engineering discipline, code quality, automation, testing, version control, and CI/CD practices.
- Expert-level proficiency in developing and maintaining data pipelines, transformations, and automated workflows using advanced Python and SQL.
- Experience working with modern cloud data platforms and lakehouse architectures such as Databricks, Microsoft Fabric, or Snowflake.
- Demonstrated analytical and computational problem-solving skills with the ability to tackle complex technical challenges independently.
- A passion for continually improving systems, practices, processes, and technical approaches.
- Ability to translate business needs into technical solutions and build strong working relationships with stakeholders and teammates.
- Experience mentoring peers, coaching teammates, and helping elevate technical capability across a team.
- Post-secondary degree in Computer Science, Software Engineering, or a related field.
- At least five years of experience building production data pipelines.
- At least three years of hands-on experience developing automated workflows using SQL, Python, and modern data engineering tools such as Airflow and dbt.
Nice To Haves
- Experience with cloud data platforms.
- Experience with machine learning pipelines.
- Experience with DataOps practices.
- Experience mentoring technical teammates.
Responsibilities
- Design, build, and maintain automated data pipelines that transform raw data into reliable, scalable, and reusable data products.
- Introduce best practices, improve standards, and recommend new approaches to data engineering.
- Collaborate with project teams, vendors, architects, analysts, and technical stakeholders to solve complex challenges.
- Mentor other data engineers and contribute to technical decision-making.
- Establish engineering patterns that can be adopted across the organization.
- Troubleshoot data ingestion issues.
- Design new lakehouse architectures.
- Build feature engineering pipelines.
- Define the future roadmap for data engineering at BC Transit.
Benefits
- Comprehensive medical and dental benefits
- Membership in BC’s Public Service Pension Plan (PSPP)
- Access to fitness and lifestyle centers
- Employee Assistance Program
- Health and wellness initiatives and events
- A complimentary employee bus pass (plus taxable dependent passes)
- A corporate learning and development program
- An employee recognition program
- A social club that gives you access to events throughout Victoria
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What This Job Offers
Job Type
Full-time
Career Level
Senior
