Lead Data Engineer
Core
Lead the strategic roadmap and modernization of the data platform, building scalable Lakehouse, ETL, streaming, and MDM capabilities for BEES' B2B e-commerce and SaaS platform.
Role type
Senior Lead Data Engineer (Platform & Architecture)
Builds
Scalable data products, platform services, and modernized data infrastructure for small and medium-sized retailers.
Domain
Consumer Products / Retail / Data Engineering
Required skills
Large-scale ETL and data platform architecture, Databricks and Lakehouse, Cloud platforms (Azure/AWS/GCP), Master Data Management (MDM) and entity resolution, Data modeling and distributed processing, Streaming architectures, Software engineering fundamentals (CI/CD, testing, observability), Technical leadership and mentoring.
Preferred skills
Enterprise-scale Data Engineering and MDM transformation, Multi-year technology roadmaps, Batch-to-streaming transitions, Multi-region data environments, Data product architecture.
Technologies
Databricks, Azure, AWS, Google Cloud Platform, MDM tools, Streaming frameworks, CI/CD pipelines.
Responsibilities
Develop and operationalize the strategic roadmap for the data platform; Build and evolve Lakehouse, ETL, streaming, and MDM capabilities; Work with engineering teams on design, development, testing, and production support; Identify opportunities for platform optimization and reduce technical debt; Mentor engineers and define engineering standards.
Seniority
Senior, hands-on IC with leadership responsibilities.