Senior Technical Architect

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.

• 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 growth in this area expected and supported).

• Collaborate with Product and Engineering teams to influence roadmap, validate use cases, and accelerate adoption of new data and AI-driven capabilities.

• Deep Salesforce technical expertise, including APIs, data model, metadata architecture, security/sharing model, and platform limits/performance considerations.
  
  

• Hands-on experience delivering solutions in regulated environments (e.g., Financial Services, Insurance, Healthcare, Public Sector) with strong understanding of compliance frameworks (GDPR, HIPAA, DORA, etc.).
  
  

• Proven track record leading large, complex data migrations and operationalizing enterprise-grade strategies for backup, restore, archival, and data lifecycle management.
  
  

• Strong data engineering foundation, including experience building data pipelines, ETL flows, or lakehouse/lake-based architectures using Snowflake, Databricks, or AWS-native services.
  
  

• Ability to learn and apply AI/ML concepts (LLMs, classification, anomaly detection) to real-world customer data problems. Prior AI experience is preferred but not mandatory.
  

• Excellent communication, leadership, and client-facing skills — including influencing VP/CXO-level stakeholders and leading cross-functional teams in fast-paced environments.

• Experience with security frameworks, data privacy, or Zero Trust architectures.
  
  

• Background with Salesforce Data Cloud, Einstein Trust Layer, or MLOps concepts.
  
  

• Prior work with data governance, data lineage, or sensitive data classification tools.
  
  

• Salesforce certifications (e.g., Application Architect, System Architect, CTA), experience/certifications in AWS, Snowflake or Databricks.

• Experience in a high-growth SaaS or enterprise data platform environment.

• Work at the intersection of Salesforce, data security, and next-generation AI-driven data services.
  
  

• Influence product direction and define new Expert Services offerings used by the world’s largest Salesforce customers.
  

• Join a global, high-caliber architecture team solving complex and mission-critical data challenges.