We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.

Responsibilities:

• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.
• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.
• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.
• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.
• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.
• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.
• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.
• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.
• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.