GE Aerospace is looking for a Data Engineering Lead to join our technology center. In this role, you will lead the design, implementation, and management of data engineering solutions using Microsoft Fabric, architecting scalable systems that support our relentless dedication to the future of flight.

What You'll Do

Architect scalable data solutions using Fabric components like Lakehouses, Pipelines, and Dataflows.
Lead data ingestion and transformation using tools such as Azure Data Factory, PySpark, SQL, and Kusto Query Language (KQL).
Ensure data quality and governance across Bronze (raw), Silver (cleansed), and Gold (curated) data layers.
Collaborate with cross-functional teams including analytics engineers, architects, and business stakeholders.
Optimize performance and scalability of the data platform through monitoring and tuning.
Mentor junior engineers and guide best practices in data engineering.
Design and implement data models and schemas to support business requirements.
Integrate data pipelines with Azure Purview for data lineage.
Migrate applications from Azure Data Factory and Azure Synapse to Microsoft Fabric.
Implement robust data security measures, including encryption, access control, and data masking.
Monitor and optimize data pipelines and queries for performance and efficiency.
Establish and enforce data quality standards and governance practices.
Collaborate with business stakeholders to understand data requirements and deliver.
Create and maintain comprehensive technical documentation.
Implement Lean daily management and Lean continuous improvement concepts in Application development and operations.

What We're Looking For

Bachelor's or master's degree in computer science, Information Technology, or a related field.
Proven experience in Data integration and orchestration using Microsoft Fabric tools.
Proven experience with Cloud platforms, especially Azure (Data Factory, Synapse, Power BI).
Proven experience with ETL/ELT pipelines, lakehouse architecture, and real-time analytics.
Strong foundation in SQL, PySpark, and Kusto Query Language (KQL).
Excellent problem-solving skills and attention to detail.
Strong communication and leadership skills.

Nice to Have

Relevant certifications (e.g., Microsoft Certified: Fabric Data Engineer Associate) are a plus.
Effective Communicator: Possess the ability to articulate complex technical concepts clearly.
Solution-Oriented Mindset: Approach challenges with a solutions-first attitude.
Change Advocate: Capable of spearheading and implementing change.
Leadership Qualities: Show a strong capacity to lead, influence, and guide teams.
Technical Translator: Excel at translating intricate technical topics for stakeholders.
Analytical Thinker: Possess an analytical and detail-oriented mindset.
Team Player: Exhibit a strong willingness to collaborate and work cohesively.
Adaptability: Demonstrate resilience and adaptability in an ever-changing environment.