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Senior Forward Deployed Engineer at Databricks helps customers adopt big data and AI solutions using Spark, Python, and cloud platforms.
The Resident Solutions Architect will work with healthcare and life sciences clients on big data challenges using Databricks, designing architectures, leading projects, and providing technical support, with travel required.
Resident Solutions Architect for Databricks public sector, designing big data solutions, requiring 6+ years experience, Python/Scala, cloud, and travel.
Senior Manager, Field Engineering at Databricks leads a team of pre‑sales Solutions Architects to drive Lakebase adoption and boost customer value.
Remote Strategic Account Executive for Databricks, selling to telecom enterprises, requiring 7+ years of enterprise sales experience to drive growth and expand the Data Intelligence Platform.
Resident Solutions Architect role at Databricks supporting Professional Services team, working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud projects, and guiding strategic customers through implementation. Requires 6+ years experience and experience with Spark, Python/Scala, and cloud ecosystems.
Resident Solutions Architect in Professional Services at Databricks designs data architectures, supports financial services clients with 6+ years of Spark and cloud expertise, and may require up to 20% travel.
The Resident Solutions Architect role at Databricks engages financial services clients on data engineering and analytics projects, designing and implementing big data solutions using the Databricks platform. The position involves billable consulting, client collaboration, and up to 20% travel.
The Resident Solutions Architect will work with public sector clients to design and implement big data solutions using the Databricks platform. The role involves data engineering, data science, and cloud projects, requiring 6+ years of experience and travel up to 20%.
Resident Solutions Architect for Healthcare & Life Sciences at Databricks, working with clients on big data challenges using the Databricks platform, requiring 6+ years experience in data engineering, Python or Scala, cloud, and Spark, with travel and customer engagement.