2 months ago
Remote, United StatesSenior
Base Salary
$180k - $220k/yr
Responsibilities
- Lead system design and architecture reviews for large-scale data warehouses and analytics applications.
- Design data lakehouse architectures, data models, integration patterns, and data-as-a-service solutions.
- Provide technical direction for data storage, processing, deployment, reliability, performance, and security initiatives.
- Create and maintain architectural documentation, including Architecture Decision Records, design documents, and technical specifications.
- Monitor and improve technical debt, technical health metrics, onboarding processes, code quality, and sustainable engineering practices.
- Coach and mentor engineers on data warehouse, data processing, storage, deployment, and SRE architecture.
- Contribute high-quality code and hands-on implementations for critical or complex components.
- Assist SRE teams with stability, automation, and scalability improvements.
- Collaborate with Engineering Managers, product management, UX, architects, and cross-functional teams on roadmaps and dependencies.
- Own the lifecycle and toolchain of data components from design through deployment.
- Support engineering hiring processes and technical assessments.
Requirements
- 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.
- Strong knowledge of BigQuery, Redshift, Synapse, and Snowflake.
- Experience with Apache Iceberg, Databricks, Delta Lake, or Hudi lakehouse platforms.
- Deep understanding of Kimball, Data Vault, or dimensional data modeling.
- Experience with Parquet and ORC columnar storage formats and batch and stream processing architectures.
- Experience deploying AI analytics at scale and applying SRE principles and practices.
- Experience with Terraform, Kubernetes, and monitoring or observability tools such as Datadog, Prometheus, or Grafana.
- Demonstrated ability to lead architecture, influence across teams, mentor engineers, manage dependencies, and align technical decisions with business priorities.
- Strong written, verbal, presentation, stakeholder management, and technical communication skills.
- Preferred experience architecting Microsoft 365 add-ins and knowledge of data privacy, encryption, and zero-trust security models.
- Open-source contributions or technical community involvement are preferred.
Benefits
- Flexible PTO plus 14 holidays and a high degree of schedule flexibility.
- $1,500 annual learning and development stipend.
- Company-sponsored team celebrations and an Employee Assistance Program.
- Access to Headspace and broader occupational, mental, social, physical, and environmental wellness programs.
- Flat 3% retirement account contribution, 401K contribution, and stock options.
- Generous parental, medical, and bereavement policies.
- Full medical, dental, and vision benefits.
- New Hire Swag and IT Welcome boxes.
- Structured semi-annual 360° performance reviews.
- Inclusive workplace with a diversity, equity, inclusion, and belonging focus.
Tech Stack
Categories
Data Engineering
About Virtru
Virtru builds data protection software that encrypts email and files and enforces access controls across Google Workspace, Microsoft 365, and other platforms. Its Data Security Platform is offered as SaaS or on‑premises, with SDKs and APIs for developers, used by enterprises and public-sector teams in regulated industries. Founded in 2012 and headquartered in Washington, DC, Virtru is privately held.