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 scalableETL/ELT pipelines and frameworkssupporting operational and analytical workloads Lead initiatives focused on improvingdata quality, observability, reliability, and trustacross enterprise datasets Support implementation of the DCEData Quality Framework, including automated validation, monitoring, and alerting Establish and improvemetadata, lineage, governance, and discoverability standards Build governed data foundations that enable greater adoption ofself-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 promoteCI/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 58+ years of Data Engineering experience Strong experience buildingcloud-native enterprise data platforms Strong

Microsoft Azure Data Platformexperience Advanced hands-on experience with

Databricks / Databricks Lakehouse Strong

Spark / PySparkexperience AdvancedSQL and Python Strong ETL/ELT development and optimization experience Experience with

Delta Lake Enterprise data modeling and dimensional design Experience building reusableenterprise 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 Thank you for your interest in this prospect.

If you are selected to move forward in the process, we will contact you directly.

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