Lead Data Engineer

📋 Description

• Design, build, and maintain scalable lakehouse architectures and enterprise data platforms that
• Lead end-to-end data engineering initiatives covering ingestion, transformation, storage, modeling
• Develop secure and scalable data ingestion frameworks using CDC, batch, API, and file-based
• Build and maintain reliable data pipelines and transformation workflows, with a strong focus on
• Create data models, semantic layers, and governed metrics that provide consistent, trusted
• Implement data quality, reconciliation, observability, monitoring, and alerting processes to

🎯 Requirements

• 8+ years of professional experience in data engineering, including end-to-end ownership of data
• Demonstrated experience leading or contributing to large-scale data engineering initiatives and
• Advanced proficiency in Python and SQL, including data modeling, transformation, data quality
• Hands-on experience with modern lakehouse architectures and data platforms, including technologies
• Strong experience designing scalable data pipelines and change data capture solutions using
• Strong understanding of data governance, lineage, security, access controls, observability, audit

🎁 Benefits

• Full-time, fully remote position within the United States.
• Opportunity to lead the development of modern data platforms supporting analytics, AI, and
• High-impact technical role combining hands-on engineering with architectural and technical
• Exposure to modern lakehouse, cloud, data governance, AI/ML, and data observability technologies.
• Opportunity to collaborate with multidisciplinary teams across engineering, analytics, security
• Ability to influence enterprise data standards, architecture, governance, and engineering best