Lead Data Engineer; Fully Remote

• Design, build, and maintain scalable lakehouse architectures and enterprise data platforms that support analytics, reporting, and AI-driven solutions.
• Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations from operational and transactional source systems.
• Create and maintain data models, semantic layers, and governed metrics that enable consistent, trusted, and business-ready data consumption.

Qualifications:

• 8+ years of experience in Data Engineering, including end-to-end ownership of data ingestion, transformation, storage, and analytics delivery.
• Strong expertise in Python and SQL, including advanced data modeling, transformation frameworks, and performance optimization.
• Hands-on experience with modern lakehouse architectures and data platforms, including Apache Iceberg, Delta Lake, Hudi, and cloud-native solutions.
• Partner with AI/ML, platform engineering, and security teams to deliver governed data products and support regulatory compliance.
• Establish and enforce data governance standards, lineage documentation, and data contracts.
• Experience in financial services or banking industry is highly preferred.

Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.