Staff Data Engineer
New
CanadaFull-TimeStaff
Salary180,000 - 195,000 CAD per year
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Job Details
- Required Skills
- PythonSQLGCPKafkaData engineeringData modelingBigQuerydbt
Requirements
- Extensive experience in data engineering, data platform, or distributed systems roles.
- Proven ability to design, build, and scale complex data pipelines across multiple teams or large organizations.
- Strong expertise in data modeling, schema design, and modern data architecture principles.
- Advanced proficiency in Python and SQL.
- Hands-on experience with cloud platforms such as GCP, AWS, or Azure, with GCP preferred.
- Experience with modern data warehouses (BigQuery, Snowflake, Redshift or similar) and transformation tools such as dbt.
- Knowledge of streaming and CDC systems (Kafka, Debezium, Datastream or equivalent).
- Experience with AI/LLM data patterns such as retrieval-augmented pipelines, embeddings, and evaluation datasets.
- Strong understanding of data governance, lineage, and security practices.
- Ability to operate in ambiguous, high-impact environments with strong cross-functional influence.
Responsibilities
- Define and own the architecture and long-term evolution of the enterprise data platform, with a focus on AI-enabled and LLM-driven systems.
- Design and build scalable data pipelines supporting analytics, product features, decision systems, and AI evaluation workflows.
- Establish standards for data modeling, schema design, data contracts, and multi-tenant data standardization across teams.
- Develop retrieval-ready and AI-optimized data structures, including embedding pipelines, vector storage, and feedback loop datasets.
- Implement and maintain data governance frameworks, including PII handling, lineage tracking, and policy-based tagging.
- Build and optimize both batch and real-time streaming data systems using modern distributed data architectures.
- Collaborate with engineering, product, and data science teams to align data infrastructure with business and AI requirements.
- Identify and solve complex platform challenges such as automated schema mapping and cross-system data integration.
- Drive best practices in data reliability, scalability, and performance across the organization.
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