Description:

Skyflow is a data privacy vault company that simplifies how companies isolate, protect, and govern sensitive data.
The company supports a diverse customer base across various verticals, including fintech, retail, travel, and healthtech.
The Solutions Engineering Team is seeking customer-focused Architects and Engineers to solve complex privacy challenges.
The role involves partnering with enterprise customers to architect privacy-first solutions that integrate Skyflow’s Data Privacy Vault.
Responsibilities include guiding customers through technical evaluations, building tailored demos, and leading proof-of-concepts (POCs).
The focus is on ensuring that Skyflow’s solutions exceed customer expectations for privacy, security, and compliance.

Requirements:

Candidates must have enterprise experience in pre-sales or technical customer-facing roles, focusing on enterprise-level engagements.
Proven ability to lead technical discussions with Product Managers, Developers, Engineers, and C-level stakeholders is essential.
Strong experience in building and managing relationships in fast-paced, technical organizations is required.
Expertise in cloud technologies such as AWS, Google Cloud, and Microsoft Azure is necessary.
Candidates should have experience in API-centric development, including REST, GraphQL, and microservices.
In-depth knowledge of data architectures, including relational databases, NoSQL data stores, ETL, and integration workflows, is required.
A strong application security background, including Authentication, Authorization, Key Management, and advanced security models, is essential.
Excellent written and verbal communication skills are necessary for presenting complex technical topics to diverse audiences.
Candidates should be strong listeners and learners, eager to grow and stay updated with industry trends and technologies.
Demonstrated ability to design privacy-first architectures leveraging privacy regulations and best practices is required.
Experience in leading proof-of-concepts (POCs) and custom demos in high-stakes environments is essential.