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.