Senior Data Engineer

Job Title:

Senior Data Engineer
Job

Location:

North Vancouver, British Columbia

What you will be doing:

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:

5-8+ years of Data Engineering experience

Strong experience building cloud-native enterprise data platforms

Strong Microsoft Azure Data Platformexperience

Advanced hands-on experience with Databricks / Databricks Lakehouse

Strong Spark / Py Spark experience

AdvancedSQL 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 Dev Ops 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

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