Principal Data Engineer - R01558819

We are seeking a Microsoft Fabric Data Engineer with 7+ years of experience for a lead role. The ideal candidate will be responsible for designing, developing, and deploying data pipelines, ensuring efficient data movement and integration within Microsoft Fabric.

Responsibilities

Data Pipeline Development: Design, develop, and deploy data pipelines within Microsoft Fabric, leveraging OneLake, Data Factory, and Apache Spark to ensure efficient, scalable, and secure data movement across systems. ETL Architecture: Architect and implement ETL workflows optimized for Fabric’s unified data platform, streamlining ingestion, transformation, and storage. Data Integration: Build and manage integration solutions that unify structured and unstructured sources into Fabric’s OneLake ecosystem. Utilize SQL, Python, Scala, and R for advanced data manipulation. Fabric OneLake & Synapse: Leverage OneLake as the single data lake for enterprise-scale storage and analytics, integrating with Synapse Data Warehousing for big data processing and reporting. Cross-functional Collaboration: Partner with Data Scientists, Analysts, and BI Engineers to ensure Fabric’s data infrastructure supports Power BI, AI workloads, and advanced analytics. Performance Optimization: Monitor, troubleshoot, and optimize Fabric pipelines for high availability, fast query performance, and minimal downtime. Data Governance & Security: Implement governance and compliance frameworks within Fabric, ensuring data lineage, privacy, and security across the unified platform. Leadership & Mentorship: Lead and mentor a team of engineers, oversee Fabric workspace design, code reviews, and adoption of new Fabric features. Automation & Monitoring: Automate workflows and orchestration using Fabric Data Factory, Azure DevOps, and Airflow, ensuring smooth operations. Documentation & Standards: Document Fabric pipeline architecture, data models, and ETL processes. Contribute to Fabric engineering best practices and enterprise guidelines. Innovation: Stay current with Fabric’s evolving capabilities (Real-Time Analytics, Data Activator, AI integration) and drive innovation within the team.

Qualifications

• 7+ years of experience in data engineering, with a strong focus on Microsoft Fabric and related technologies.

• Required Skills

• Proficiency in SQL, Python, Scala, and R. Experience with data pipeline development and ETL processes. Strong understanding of data governance and security practices. Ability to lead and mentor a team effectively.

• Preferred Skills

• Experience with Azure DevOps and Airflow. Familiarity with Power BI and AI workloads. Knowledge of real-time analytics and data activator features.

• Pay range and compensation package

• Competitive salary based on experience and qualifications.

• Equal Opportunity Statement

• We are committed to creating a diverse and inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences.