Odaseva provides enterprise data management and security solutions that help organizations exercise sovereignty over their critical data.
Companies representing 10% of global market capitalization trust Odaseva, including Schneider Electric, Volkswagen and Robert Half.
Its Excalibur Data Platform enables customers to protect, secure, move, and use data and code independently of application vendors.
The platform supports complex and high-volume use cases, including backup, archiving, zero-copy, BCDR & High Availability, data federation, and semantic AI orchestration.
Customer-controlled end-to-end encryption raises the bar for enterprise security.
With 11 patents, Odaseva manages 50 trillion records and supports 100 million users.
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 for large-scale data lake ingestion.
Platform & Cost Optimization: Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.
Databricks, Snowflake & Cloud Engineering: Deeply leverage Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions (AWS S3, Glue/Athena, Lambda) for scalable data engineering.
Lakehouse Architecture: Demonstrate strong expertise in managing, creating, and optimizing Delta Lake or Apache Iceberg tables.
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
Hands-on engineer background with.