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Virtru

Persistent data protection with secure sharing

Data Warehouse & Analytics Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USARemote

About the Job

Requirements

  • Strong knowledge of cloud data warehouses, including BigQuery, Redshift, Synapse, and Snowflake.
  • Strong experience with lakehouse platforms, including Apache Iceberg, Databricks, Delta Lake, or Hudi.
  • Deep understanding of data modeling techniques, including Kimball, Data Vault, or dimensional modeling.
  • Experience with columnar storage formats such as Parquet and ORC.
  • Strong knowledge of batch and stream processing architectures.
  • Experience deploying AI analytics at scale.
  • Knowledge of site reliability engineering principles and practices.
  • Experience with infrastructure as code using Terraform.
  • Proficiency in containerization and orchestration using Kubernetes.
  • Knowledge of monitoring and observability tools such as Datadog, Prometheus, or Grafana.
  • Experience with continuous integration and continuous delivery pipelines and DevOps practices.
  • Demonstrated experience leading architectural design and technical direction for engineering teams.
  • Ability to influence without authority and drive technical decisions across teams.
  • Technical mentoring and coaching experience.
  • Experience creating architectural documentation, design documents, and technical specifications.
  • Track record of improving technical health metrics and reducing technical debt.
  • Experience with cross-team collaboration and dependency management.
  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent experience.
  • At least 7 years of data warehouse, database, or data processing and analytics experience.
  • Proven experience in architectural or technical leadership roles.
  • Ability to communicate clearly and concisely, verbally and in writing.
  • Presentation skills and ability to articulate complex technical concepts to diverse audiences.
  • Experience with stakeholder management and aligning technical decisions with business context.
  • Ability to challenge teammates and managers respectfully in pursuit of excellence.
  • Ability to collaborate and adapt to shifting priorities as business needs evolve.
  • Comfort with asynchronous communication using Slack, email, Zoom, or similar tools.

Responsibilities

  • Lead system design and architecture reviews for scaled data warehouses, and engineer and design and deploy web-scale data analytics applications.
  • Apply deep site reliability engineering experience to deploy data and AI analytic applications at scale to cloud environments, using a strong foundation in site reliability engineering principles and practices.
  • Create and maintain architectural documentation, including authoring and reviewing Architecture Decision Records, to ensure alignment with overall software architecture.
  • Design data lakehouses, data models, and integration patterns for deploying databases and data as a service at scale.
  • Provide technical direction for scaling complex features and initiatives involving data storage, processing, and deployments.
  • Monitor and improve technical debt across engineering teams related to data storage, processing, and site reliability.
  • Partner with Engineering Managers to define technical health metrics and streamline technical onboarding processes.
  • Drive reliability, performance, and security best practices for data storage, processing, and site reliability engineering.
  • Break down complex technical tasks into clear, manageable deliverables for the team.
  • Ensure sustainable engineering practices and code quality standards.
  • Guide team members on data access, storage, and deployment architecture and development practices.
  • Ensure teams deliver solutions that satisfy requirements while aligning with current and future architectural designs.
  • Coach and mentor engineers on data storage, warehouse, processing, and site reliability engineering systems architecture and best practices.
  • Make high-quality code contributions to critical or complex components.
  • Share knowledge of hyperscale data warehouses and lakehouses, data models, and emerging technologies with the team.
  • Assist site reliability engineering teams with improving stability, automation, and scalability.
  • Conduct code reviews focused on architectural alignment and quality.
  • Support hiring processes and technical assessments for engineering candidates.
  • Partner with Engineering Managers through regular one-on-one meetings and team planning sessions.
  • Collaborate with product management, user experience, and other architects to design and deliver new software solutions.
  • Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges.
  • Ensure technical roadmap alignment with product and business priorities.
  • Participate in and contribute to platform-wide architectural initiatives.
  • Own the entire lifecycle and toolchain of all data components from design through deployment.
  • Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities.
  • Build software that impacts how people approach data privacy.

Desired Qualifications

  • Experience architecting Microsoft 365 add-ins with a focus on security, performance, and user experience.
  • Knowledge of data privacy, encryption, and zero-trust security models.
  • Familiarity with continuous integration and continuous delivery pipelines and modern DevOps practices.
  • Contributions to open-source projects or technical community involvement.

About the Company

Virtru

Persistent data protection with secure sharing

Virtru provides data protection and privacy solutions through a platform that guards data sharing, storage, and analysis across its lifecycle, anchored by the Trusted Data Format (TDF). Its core approach works by applying persistent, data-centric protections that travel with the data, with a suite of developer tools to embed these protections into applications, devices, or infrastructure. This differentiates Virtru from many security offerings by focusing on data controls rather than just network or perimeter security. The goal is to help organizations in healthcare, finance, government, and education comply with privacy rules and prevent data breaches by keeping sensitive information under continuous control.

Company size
201-500
Company stage
Series D
Total funding
$189.8M
Headquarters
Washington DC, District of Columbia
Founded
2012

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