Lead Data Engineer

Responsibilities:

• 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.

Collaboration:

• 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.