Build and optimize Databricks data platforms and pipelines across batch and streaming workloads, contribute technical leadership and solution accelerators, and help deliver scalable client data solutions.
Leads Databricks data architecture and engineering engagements, advising clients on platform strategy, shaping solution proposals, and guiding teams through large-scale migrations and modernization.
Lead delivery of Databricks data engineering solutions, designing and optimizing scalable batch and streaming pipelines while contributing to data platform architecture and reusable solution accelerators.
Lead Databricks data architecture and engineering engagements, advising clients on data strategy, shaping solution proposals, and guiding teams through complex platform implementations and modernization.
Lead Databricks data engineering work to design and implement scalable lakehouse platforms and batch and streaming pipelines, while contributing to solution architecture, data quality, and Databricks accelerators.
Lead Databricks architecture and data engineering engagements, advising clients on platform strategy, guiding engineering teams, and delivering complex migrations, modernization projects, and tailored solutions.
Page 1 · 6 results
