Microsoft Fabric & Airflow Resource

Brampton, ON
On-site
Posted Oct 8, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead and mentor an offshore engineering pod while designing, optimizing, and orchestrating data pipelines and workloads in Microsoft Fabric. Manage OneLake data assets and integrations, configure semantic models and Oracle mirroring, support interoperability testing, maintain CI/CD and monitoring, and document technical processes in coordination with an onsite architect.

Job details

Description This job posting is for an existing, active vacancy and we are looking to hire Microsoft Fabric & Airflow Resource at Brampton, ON. Responsibilities: Lead the offshore engineering pod, providing mentorship and guidance to team members. Design, build, and optimize data pipelines in Fabric Data Factory. Orchestrate workloads using Fabric Airflow to ensure efficient data processing. Manage Lakehouse and Warehouse items in OneLake, including configuration of shortcuts to various cloud storage solutions. Implement and maintain Direct Lake semantic model configurations and Oracle mirroring setups. Utilize Spark, PySpark, SQL, T SQL, and Delta Lake for data processing and transformation. Conduct interoperability testing with Databricks and Snowflake to ensure seamless integration. Utilize Azure DevOps and Git for version control and CI/CD of Fabric artifacts. Monitor consumption using the Fabric Capacity Metrics app and perform disciplined benchmarking. Document technical processes and maintain clean technical documentation. Coordinate across time zones with an onsite architect to ensure project alignment. Mandatory Skills: Strong experience with Data Fabric technologies. Proficient in building and tuning pipelines in Fabric Data Factory. Hands on experience with Fabric Airflow for workload orchestration. Expertise in managing Lakehouse and Warehouse items in OneLake. Solid understanding of cloud storage solutions: ADLS Gen2, AWS S3, and GCP Cloud Storage. Proficient in Spark, PySpark, SQL, T SQL, and Delta Lake. Experience with Direct Lake semantic model configuration and Oracle mirroring setup. Familiarity with Databricks and Snowflake for interoperability testing. Fluency in Azure DevOps and Git for version control and CI/CD. Experience using the Fabric Capacity Metrics app for monitoring. Preferred Skills: Experience in mentoring and leading engineering teams. Strong analytical and problem-solving skills. Excellent communication skills, both verbal and written.

What you’ll do

Requirements

Requires strong Microsoft Fabric experience, including Fabric Data Factory, Fabric Airflow, OneLake, and cloud storage integrations, along with proficiency in Spark, PySpark, SQL, T-SQL, and Delta Lake. Candidates should also have experience with Direct Lake semantic models, Oracle mirroring, Databricks and Snowflake interoperability, Azure DevOps, Git, and Fabric capacity monitoring.