Senior Data Engineer — Remote AI & Fabric Platform Expert

K&L Gates; Durham (NC); Sur place; USD 169 000 - 209 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) plan and profit sharing

Hybrid/Remote work opportunities

Résumé du poste

K&L Gates is seeking a Senior Data Engineer to design scalable data platforms on Microsoft Fabric, including Lakehouse and Warehouse solutions. You will establish engineering standards, guide architecture decisions, and mentor junior engineers while collaborating with business leaders on AI-enabled data strategies.

The role emphasizes technical leadership, governance, and alignment with the firm’s AI initiatives, with opportunities to influence enterprise analytics across the firm.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• Experience designing enterprise data platforms using Microsoft Fabric.
• Strong SQL and Python for data transformation and automation.

Responsabilités

• Design scalable data platforms with Microsoft Fabric (Lakehouse/Warehouse).
• Establish data engineering standards and best practices.
• Mentor junior engineers and lead technical decisions.
• Contribute to CI/CD pipelines and architecture documentation.
• Ensure data governance, quality, and security.
• Partner with business stakeholders to translate requirements into scalable architectures.

Connaissances

SQL

Python

Microsoft Fabric

Data Mesh

Purview

CI/CD

Formation

Bachelor's degree

Outils

Fabric Data Factory

Dataflow Gen2

Fabric Notebooks

Azure DevOps

GitHub Actions

Azure AI Foundry

Real-Time Intelligence

Description du poste

K&L Gates is seeking a Senior Data Engineer to design scalable data platforms on Microsoft Fabric, including Lakehouse and Warehouse solutions. You will establish engineering standards, guide architecture decisions, and mentor junior engineers while collaborating with business leaders on AI-enabled data strategies.

The role emphasizes technical leadership, governance, and alignment with the firm’s AI initiatives, with opportunities to influence enterprise analytics across the firm.