Querentia®Talent · Trust · Thrive
Data & AI

Lead Data Engineer – Microsoft Fabric

Vancouver, BCContract · On-site 1 day ago

Engagement

Contract

On-site

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About the role

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

  • 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.

This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.

Skills

Data Engineering