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Lead Data Engineer
- Vancouver, BC, Canada
Contract
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Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Role Overview
We are seeking a Lead Data Engineer with 10–15 years of data engineering experience, including 3+ years of hands-on Microsoft Fabric experience, to lead enterprise-scale data architecture and engineering initiatives.
Key Responsibilities
Solution Architecture & Leadership
- Design enterprise-scale data architectures using Microsoft Fabric.
- Lead technical design reviews and architecture discussions.
- Establish data engineering standards, best practices, and governance frameworks.
Advanced Data Engineering
- Design scalable ELT frameworks using Fabric Data Factory, Spark Notebooks, Lakehouse, Warehouse, and OneLake.
- Build high-volume customer data pipelines supporting batch and near real-time processing.
- Develop reusable ingestion and transformation frameworks.
- Optimize large-scale workloads for performance and cost efficiency.
Data Governance & Security
- Design data quality frameworks and monitoring solutions.
- Implement data lineage, governance, and metadata management standards.
Team Leadership
- Mentor junior and mid-level data engineers.
- Lead code reviews and solution governance activities.
- Drive Agile delivery and sprint planning.
Required Experience
- 10–15 years of Data Engineering experience.
- 3+ years of hands-on Microsoft Fabric experience.
- Strong expertise in Fabric Data Factory, Spark, Lakehouse, Warehouse, and OneLake.
- Experience designing scalable data pipelines and ELT frameworks.
- Strong understanding of data governance, quality, lineage, and metadata management.
- Proven technical leadership and mentoring experience.
More about this job
Responsibilities
Lead enterprise-scale data architecture and engineering initiatives using Microsoft Fabric, including scalable ELT frameworks and high-volume batch and near-real-time customer data pipelines. Establish engineering and governance standards, optimize workloads, and mentor engineers while leading design reviews, code reviews, and Agile delivery.
Requirements
Requires 10–15 years of data engineering experience, including at least 3 years of hands-on Microsoft Fabric experience and strong expertise in Fabric Data Factory, Spark, Lakehouse, Warehouse, and OneLake. Candidates should have experience building scalable pipelines and ELT frameworks, knowledge of data governance, quality, lineage, and metadata management, and a record of technical leadership and mentoring.
Skills
- Microsoft Fabric
- Fabric Data Factory
- Spark
- Spark Notebooks
- Lakehouse
- Warehouse
- OneLake
- Data Architecture
- Data Engineering
- ELT Frameworks
- Data Pipelines
- Data Governance
- Data Quality
- Data Lineage
- Metadata Management
- Technical Leadership
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- Microsoft Fabric
- Fabric Data Factory
- Spark
- Spark Notebooks
- Lakehouse
- Warehouse
- OneLake
- Data Architecture
- Data Engineering
- ELT
- Data Pipelines
- Batch Processing
- Near-Real-Time Processing
- Data Ingestion
- Data Transformation
- Performance Optimization
- Cost Efficiency
- Data Governance
- Data Quality
- Data Lineage
- Metadata Management
- Technical Design Reviews
- Code Reviews
- Solution Governance
- Mentoring
- Agile Delivery
- Sprint Planning
- IT Services
- Data Monitoring