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Reposted 18 Days AgoSaved
In-Office
Mountain View, CA, USA
166K-225K Annually
Senior level
166K-225K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Design and automate networking foundations for large-scale compute clusters. Lead development of secure, scalable connectivity across cloud providers to support data and AI workloads.
Top Skills: C++JavaPythonScala
Reposted 18 Days AgoSaved
In-Office
Mountain View, CA, USA
235K-295K Annually
Senior level
235K-295K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Sr. Staff Software Engineer in Observability, you will develop advanced observability solutions, manage infrastructure, and mentor engineers to enhance technical excellence within the team.
Top Skills: AWSAzureC++DockerGCPGoJavaKubernetesPythonRustScala
Reposted 18 Days AgoSaved
Remote
United States
272K-374K Annually
Senior level
272K-374K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.
Top Skills: SparkBig DataCloudDelta LakeSaaSSalesforce
Reposted 18 Days AgoSaved
Remote
3 Locations
219K-301K Annually
Senior level
219K-301K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Sr. Solutions Architect will lead customer engagements for Databricks, design data architectures, implement solutions, and promote open-source projects.
Top Skills: AWSAzureGCPHadoopJavaKafkaPythonRScalaSparkSQL
Reposted 18 Days AgoSaved
In-Office or Remote
6 Locations
272K-374K Annually
Senior level
272K-374K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Enterprise Account Executive is responsible for managing large CPG clients, driving growth, and exceeding sales targets through relationship-building and strategic selling in the data and AI space.
Top Skills: SparkBig DataCloudDelta LakeSaaSSalesforce
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Reposted 18 Days AgoSaved
Remote
United States
152K-209K Annually
Senior level
152K-209K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.
Top Skills: SparkAWSAzureDatabricksDelta LakeGCPHadoopJavaKafkaKoalasMlflowPandasPythonRScalaScikit-LearnSQL
Reposted 18 Days AgoSaved
In-Office
Mountain View, CA, USA
222K-300K Annually
Senior level
222K-300K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead the Engineering Team for Vector Search, developing a cloud-native service, managing team growth, and defining product roadmaps.
Top Skills: AICloudDatabase SystemsMl
Reposted 18 Days AgoSaved
In-Office
Bellevue, WA, USA
157K-214K Annually
Senior level
157K-214K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Design and automate networking for large-scale compute clusters, ensuring robust and scalable connectivity across cloud resources for data and AI workloads.
Top Skills: C++JavaPythonScala
Reposted 18 Days AgoSaved
In-Office
San Francisco, CA, USA
157K-215K Annually
Senior level
157K-215K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Senior Product Manager for Databricks Repos, you will define and drive the vision for the developer experience related to version control and workflow integration for data and AI applications.
Top Skills: Azure DevopsGitGitGitlabLakeflowPythonSQL
Reposted 18 Days AgoSaved
In-Office
Bellevue, WA, USA
87K-119K Annually
Junior
87K-119K Annually
Junior
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Drive revenue realization and scalable enablement across a portfolio of accounts by designing repeatable workflows, building lightweight automations, analyzing activation and usage trends, identifying friction, and improving processes and tooling to increase customer adoption.
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