Since 2012 Odaseva has helped global enterprises secure and manage their most valuable asset: data.
The Odaseva EnterpriseData Platform secures and manages Salesforce data, ensuring data resilience, regulatory compliance, and unlocking the value of data.
It’s built to solve the complex challenges of large-scale global enterprises.
We’re a fast-growing scale-up with offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, Singapore, and more.
We serve a global customer base including Fortune 500 companies, government organizations, and NGOs supporting more than 100 million Salesforce users worldwide.
At Odaseva, our values, Trust, Service, Commitment, Excellence, Kaizen, and One Team, define the environment we foster for our employees to thrive and succeed.
Join Odaseva’s R&D team and help shape the future of our data platform.
We’re a SaaS company specializing in secure data management around Salesforce environments.
You’ll design, build, and optimize scalable data pipelines and help kick-start our first AI use cases.
Databricks & Snowflake Engineering: Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE).
Platform Optimization: Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices.
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
AI Use Case Enablement: Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage).
Data Sharing & Integration: Enable secure, efficient data access for customers via connectors, AP.