Design and implement scalable data architectures and enterprise data products using Azure, Databricks, Delta Lake, Spark/PySpark, SQL, and Python
Build enterprise-level common entities and reusable datasets serving multiple business domains
Develop, maintain, and optimize scalable ETL/ELT pipelines and frameworks supporting operational and analytical workloads
Lead initiatives focused on improving data quality, observability, reliability, and trust across enterprise datasets
Support implementation of the DCE Data Quality Framework, including automated validation, monitoring, and alerting
Establish and improve metadata, lineage, governance, and discoverability standards
Build governed data foundations that enable greater adoption of self-service analytics
Partner directly with Product Managers and business stakeholders to understand requirements, prioritize initiatives, and deliver high-value data capabilities
Translate complex business requirements into scalable technical designs and solutions
Partner with Platform, Architecture, Security, and Governance teams to ensure solutions are scalable, secure, and aligned with enterprise standards
Lead technical and cross-functional design reviews and contribute to architecture and roadmap planning
Define and promote CI/CD, testing, source control, infrastructure automation, and deployment best practices
Mentor junior and intermediate engineers through code reviews, technical design sessions, and hands-on coaching
Identify opportunities to improve automation, engineering productivity, platform performance, scalability, reliability, and cost optimization
Explore emerging technologies and approaches that improve enterprise data delivery and analytics enablement
What you must have:
Technical Skills
5–8+ years of Data Engineering experience
Strong experience building cloud-native enterprise data platforms
Strong Microsoft Azure Data Platform experience
Advanced hands-on experience with Databricks / Databricks Lakehouse
Strong Spark / PySpark experience
Advanced SQL and Python
Strong ETL/ELT development and optimization experience
Experience with Delta Lake
Enterprise data modeling and dimensional design
Experience building reusable enterprise data products and data assets
Data quality monitoring and implementation
CI/CD and DevOps practices
Source control, automated testing, and deployment methodologies
Strong understanding of scalable enterprise data architecture
Data Quality & Governance Experience
Candidates should have hands-on experience implementing or supporting:
Data quality frameworks
Automated data validation and monitoring
Data observability
Metadata management
Data lineage
Data governance
Data contracts
Governed/self-service data access
Salary/Rate: $75.00 per hour
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
Senior Data Engineer • North Vancouver, British Columbia
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