Lead Data Engineer
Core
Architecting, developing, and managing enterprise data platforms and integration services to enable data-driven decision-making and support AI/ML initiatives across the organization.
Role type
Senior IC Lead Data Engineer
Builds
Scalable, production-grade data integration solutions, Lakehouse architectures, and data products for analytics, reporting, and AI/ML.
Domain
Hospitality / Enterprise Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data platform design, scalable data pipeline development, Lakehouse architecture, Databricks, Spark, Delta Lake, Azure cloud services, ELT/ETL framework development, data governance and quality, MLOps/DataOps practices, CI/CD, Infrastructure as Code (IaC), technical leadership, architectural decision-making, mentoring.
Preferred skills
Experience with Generative AI and RAG solutions, feature engineering, observability, security, and compliance implementation.
Technologies
Databricks, Spark, Delta Lake, Azure
Responsibilities
Lead end-to-end design, development, deployment, and support of scalable data solutions; create technical designs and documentation; evaluate and implement new tools and best practices; partner with stakeholders to deliver data solutions; mentor junior engineers; drive operational excellence through monitoring and optimization.
Seniority
Senior, hands-on IC with leadership responsibilities
