About the Product: Databolt We are scaling our newest offering, Databolta pioneering data security and tokenization solution designed for the modern enterprise. Databolt is a data enabler, allowing companies across regulated and data-intensive sectors to balance data utility with strict privacy compliance.

Databolt sits at the intersection of critical enterprise shifts: securing Cloud Migrations and enabling safe Generative AI adoption. Built with a flexible architecture, Databolt integrates directly into modern cloud environments to secure data where it lives, requiring a seamless connection between our platform and the customers infrastructure.

The Role We are seeking a Director, Solutions Architect who possesses a blend of deep infrastructure expertise, data security acumen, and executive presence. You will serve as the strategic technical anchor for our most critical accounts.

You will act as a bridge between the customers legacy past and their AI-driven future. You wont just be validating architecture; you will be leading workshops to align diverse stakeholders (from CISOs to Data Engineers) and collaborating with our partner ecosystem to ensure successful value delivery.

Key Areas of Focus:

• Secure Cloud Migration: You understand that moving workloads from on-prem to the cloud is a transformation, not just a lift and shift. You will guide customers on securing their migration journeys to modern platforms like Snowflake, Databricks, and major cloud data warehouses.

• AI & Data Privacy Strategy: You will help customers navigate the emerging privacy challenges of Generative AI and Large Language Models (LLMs), specifically advising on how to prevent PII leakage within training sets and inference pipelines.

• Cloud-Native Architecture & Integration: You will guide customers on how to best integrate our solution into their existing multi-cloud environments, utilizing your deep knowledge of Kubernetes and container orchestration to ensure a smooth, scalable deployment.

• Executive Alignment & Workshops: You are comfortable leading the room. You will facilitate discovery workshops and strategy sessions to align C-Suite executives (CIO, CISO, CDO) and technical practitioners on the business value and architectural fit of Databolt.

• Partner & SI Collaboration: Deployment in large enterprises often involves an ecosystem. You will collaborate closely with System Integrators (SIs) and Channel Partners, enabling them to implement our solution effectively.

Key Responsibilities:

• Navigate Complex Stakeholder Maps: Identify and align technical decision-makers, economic buyers, and influencers across the organization. You will translate technical capabilities into clear business value for CxOs.

• Lead Technical Discoveries: Dig deep into customer environments to understand their cloud infrastructure, data pipelines, and regulatory constraints (GDPR, PCI, PII) to determine the optimal Databolt fit.

• Architect Scalable Solutions: Design and document implementation plans that align with the customers cloud strategy, addressing questions regarding ingress/egress, latency, and resource management in Kubernetes environments.

• Manage Partner Engagements: Act as the technical liaison for System Integrators involved in the customers implementation, ensuring they are properly trained and aligned with our architectural standards.

• Execute Proof of Concepts (POCs): Hands-on management of technical POCs, helping customers validate the solution against their specific use cases.

• Champion Data Security: Educate customers on tokenization best practices, differentiating our solution from generic encryption, and mapping our capabilities to their compliance requirements.

Basic Qualifications:

• Bachelors degree or Military experience

• At least 7 years of experience in Solutions Architecture, Systems Engineering, or Technical Consulting for enterprise software

• At least 4 years of experience with Kubernetes and Container Orchestration (for example: managing clusters, helm charts, deployments)

• At least 3 years of experience with Data Security technologies (for example: Tokenization, Encryption, Key Management, or IAM)

• At least 4 years of experience with public cloud platforms (for example: AWS, GCP, or Azure)

Preferred Qualifications:

• Masters Degree in Computer Science, Engineering, or Information Technology

• Demonstrated understanding of cloud migration patterns and the modern data stack (for example: Snowflake, Databricks) and how security integrates into data pipelines

• Familiarity with data privacy challenges in the context of AI/LLMs (for example: sanitizing training data, preventing model inversion attacks, PII leakage)

• Experience architecting solutions for highly regulated or data-intensive industries (for example: Financial Services, Healthcare, Telecommunications, Retail)

• Demonstrated success in leading workshops and presenting to C-level executives (for example: CIOs, CISOs, CDOs)

• Demonstrated experience working with and managing technical relationships with System Integrators (SIs) and VARs

• Experience supporting software deployments that run within a customers VPC or private cloud environment

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.