Job Title: Senior Data Engineer

Job ID: 89891

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

- StrongMicrosoft Azure Data Platformexperience

- Advanced hands-on experience with Databricks / Databricks Lakehouse

- StrongSpark / PySparkexperience

- 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 DevOps practices

- Source control, automated testing, and deployment methodologies

- Solid 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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📌 Senior Data Engineer (North Vancouver)
🏢 TEEMA
📍 North Vancouver