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.

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 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.

Requirements

• 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.

Qualifications

• 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.

Benefits

• 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.
• Inclusive & diverse culture championing equality and embracing diversity.
• Supportive & collaborative team of smart, kind professionals who uplift each other.
• Excellence with a casual touch — high professional standards in a relaxed, approachable work culture.
• Impact-driven environment where you can truly make a difference and advance your career.
• Industry-leading compensation and benefits.
• Truly global presence with offices in Paris, San Francisco, Sydney, London, and more.
• Flexible work environment supporting hybrid and remote work.

Pay

The compensation range will be determined as a reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities.