Lead Data Engineer – Microsoft Fabric
- Vancouver, BC, Canada
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Original job description
Lead Data Engineer - Microsoft Fabric
Location: Vancouver, BC - Onsite
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
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Design enterprise-scale data architectures using Microsoft Fabric .
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Lead technical design reviews and architecture discussions.
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Establish data engineering standards, best practices, and governance frameworks.
Advanced Data Engineering
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Design scalable ELT frameworks using Fabric Data Factory, Spark Notebooks, Lakehouse, Warehouse, and OneLake .
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Build high-volume customer data pipelines supporting batch and near real-time processing .
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Develop reusable ingestion and transformation frameworks.
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Optimize large-scale workloads for performance and cost efficiency .
Data Governance & Security
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Design data quality frameworks and monitoring solutions .
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Implement data lineage, governance, and metadata management standards.
Team Leadership
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Mentor junior and mid-level data engineers.
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Lead code reviews and solution governance activities.
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Drive Agile delivery and sprint planning .
Required Experience
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10-15 years of Data Engineering experience.
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3+ years of hands-on Microsoft Fabric experience.
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Strong expertise in Fabric Data Factory, Spark, Lakehouse, Warehouse, and OneLake .
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Experience designing scalable data pipelines and ELT frameworks.
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Strong understanding of data governance, quality, lineage, and metadata management .
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Proven technical leadership and mentoring experience.
More about this job
Responsibilities
The Lead Data Engineer at Querentia Inc. will design enterprise data architectures and build scalable data pipelines on Microsoft Fabric. The role also sets engineering standards, sets data quality and governance rules, and leads and mentors the data engineering team.
Requirements
Candidates need 10-15 years of data engineering experience, including 3+ years on Microsoft Fabric. Strong skills in Fabric Data Factory, Spark, Lakehouse, Warehouse and OneLake, plus proven technical leadership and mentoring experience, are required.
Skills
- Microsoft Fabric
- Fabric Data Factory
- Apache Spark
- Spark Notebooks
- Lakehouse
- Fabric Warehouse
- OneLake
- ELT framework design
- Data pipeline design
- Data architecture
- Data governance
- Data lineage
- Metadata management
- Data quality frameworks
- Data monitoring
- Batch processing
- Near real-time data processing
- Performance optimization
- Cost optimization
- Code review
- Technical mentoring
- Agile
- Sprint planning
- Solution architecture
- Data warehousing
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Microsoft Fabric
- Data Factory
- Spark
- Spark Notebooks
- Lakehouse
- Warehouse
- OneLake
- ELT
- data pipelines
- data architecture
- data governance
- data lineage
- metadata management
- data quality
- batch processing
- near real-time processing
- Agile
- data engineering
- data engineer
- lead data engineer
Seniority
Lead
Tools
- Microsoft Fabric
- Fabric Data Factory
- Spark
- Lakehouse
- Warehouse
- OneLake