Odaseva

SaaS

SeniorTechnicalArchitect

$215–220k Sydney, New South Wales, Australia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Technical Architect at Odaseva”

Industry & Context.

SaaS
Full Job Description

## Description 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. About the Role Odaseva is looking for a Technical Architect who brings deep Salesforce architectural expertise and enterprise-grade data integration experience to help our largest customers protect, govern, and mobilize their data at scale. This role blends hands-on architecture, customer-facing advisory, and collaboration with Product to shape the future of data protection and AI-enabled solutions. ## Key Responsibilities Architect and guide large-scale data management initiatives — including backup/recovery, archival, anonymization, and high-volume data migrations — for global enterprise customers. Serve as the technical thought partner to customer architects and executives, providing guidance on regulated industry requirements (PII, GDPR, HIPAA, DORA) and best practices. Provide architectural leadership to customers on designing scalable data workflows and integrations using AWS, Snowflake, or Databricks, ensuring their workflow system data strategies meet enterprise performance, governance, and compliance requirements. Apply practical AI/ML techniques to customer use cases such as intelligent classification, anomaly detection, and automated compliance workflows (experience helpful but gro

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