Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems.

Skyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.

Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow on X and LinkedIn.

About Skyflow

Skyflow is a data privacy vault company built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its global network of data privacy vaults, Skyflow is also a comprehensive solution for companies around the world looking to meet complex data localization requirements. Skyflow currently supports a diverse customer base that spans verticals like fintech, retail, travel, and healthcare.

Skyflow is headquartered in Palo Alto, California, and was founded in 2019. For more information, visit www.skyflow.com or follow on X (formerly Twitter) and LinkedIn.

About the Role

This is a critical, strategic role for a hands-on technology leader who can bridge the gap between Skyflow’s data privacy vault and our customers’ complex enterprise ecosystems.

Our implementation teams are experts in the Skyflow product; you're an enterprise expert. You will be a trusted, customer-facing advisor to our most strategic customers, from engineering teams up to C-level and VP-level technology leaders. This is not a review-and-critique role. We’re looking for someone who defines architectures and solutions, joins customer calls, shares their screen, whiteboards in real time, and gets hands-on to help customers decide where and how Skyflow fits into their systems. You’ll guide conversations rather than wait to be prompted, and help customers move from a complex business problem to a concrete, working solution.

You will

Act as the primary technical advisor for Skyflow’s strategic enterprise customers, leading complex integration discussions with engineering teams and technology leaders (CTOs, CIOs, CISOs, VPs of Engineering).

Help customers determine where and how to integrate Skyflow into their systems, defining the architecture and solution design rather than reviewing someone else’s.

Run live working sessions on customer calls: screen sharing, whiteboarding, and hands-on keyboard work to design and validate integration approaches.

Plan and guide performance tests at scale, identifying pitfalls, trade-offs, and the pros and cons of different approaches.

Advise customers operating in complex data environments, including modern data platforms such as Databricks and Snowflake, multi-cloud deployments, legacy modernization, and large-scale tokenization.

Partner with Skyflow Sales and Customer Experience teams to establish technical credibility and provide architectural guidance across the pre-sales and post-sales lifecycle.

Bring field insights back to Skyflow’s Product Management and Engineering teams to help shape the platform roadmap.

Contribute to reference architectures, integration patterns, and best-practice guides that help customers adopt Skyflow as a foundational part of their data strategy.

You have

Senior-level experience as an Enterprise Architect, Principal Solutions Architect, or in a similar hands-on architecture role, with a track record of impact on complex customer environments.

At least 5 years of client-facing experience.

A background that started in software development or engineering and progressed into architecture.

Experience in a regulated industry, ideally banking/financial services or healthcare, and/or a consulting background.

Deep, hands-on expertise designing scalable architectures, API frameworks, and microservices ecosystems at enterprise scale.

Strong understanding of data security, governance, and compliance (e.g., PCI, HIPAA, GDPR, CCPA). Experience with tokenization, encryption, and data vaulting is a significant plus.