Senior Technical Architect

Odaseva

Technical Architect at Odaseva guiding data management initiatives for global enterprises, ensuring data resilience and compliance. Collaborating with customers to leverage AI-driven solutions for data protection.

Posted 5/16/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $210,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AWSETL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Competitive & Rewarding – Offering industry-leading compensation and benefits.
Flexible Work Environment – We support a hybrid, flexible office culture.
Inclusive & Diverse – We champion equality and embrace diversity.
Supportive & Collaborative – A team of smart, kind professionals who uplift each other through teamwork, not competition.
Excellence with a Casual Touch – High professional standards in a relaxed, approachable work culture.
Impact-Driven – A place where you can truly make a difference and advance your career.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data managementdata migrationsdata workflowsdata pipelinesETLAIMLanomaly detectionintelligent classificationcompliance workflows

Soft Skills

communicationleadershipclient-facinginfluencingcollaborationcross-functional team leadership