Senior Data Engineer

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:
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.


For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com