Data Warehouse Technical Architect
Quick Summary
Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture,
While the rest of the security industry obsesses over locking data down to prevent it from being lost or stolen, we're doing something fundamentally different at Virtru. We're setting data free so that you can intentionally share it with others, but without sacrificing security, privacy, or control.
We've created both a suite of powerful data protection applications and an open platform that's sparking an ecosystem of innovation. Through the Trusted Data Format (TDF) open standard, we're not just protecting data; we're creating a new paradigm where security enables sharing rather than preventing it.
Think of us as the Android of data protection: a robust platform with an open core that developers and partners can build upon, coupled with our own best-in-class applications that showcase what's possible when you reimagine security from the ground up.
Backed by Iconiq Capital, Bessemer Venture Partners, Foundry Capital, and Tiger Global, we're helping Fortune 500 companies and government agencies discover that true data security means having the freedom to share, collaborate, and innovate — without compromise.
What We Offer
~1 min readAs a Data Warehouse Technical Architect with deep site reliability engineering (SRE) experience, you will be reporting to the Chief Technology Officer and will be dedicated to architectural excellence and technical leadership for Virtru's digital privacy products. The ideal candidate will have a natural passion for digital privacy, data architecture, and delivering exceptional technical solutions. You'll have the opportunity to work with and mentor a stellar team of passionate engineers who are collaborative, cohesive, and dedicated to producing high-quality results. We encourage curiosity and have a culture that encourages growth. As a Technical Architect on this team, you will be on the cutting edge of Zero-Trust - the future of data and service protection!
This is a player/coach role with primary focus on architecture, design, and technical health, while also contributing to critical technical implementations. You will partner closely with Engineering Managers and other technical architects to provide dedicated architecture and expertise to design, build, and operate our mission-critical data infrastructure at scale.
Responsibilities
~1 min read- Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications
- Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices
- Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture
- Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale
- Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments
- Familiarity with machine learning infrastructure and MLOps
- Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability
- Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes
- Drive reliability, performance, and security best practices for data storage, processing and SRE
- Break down complex technical tasks into clear, manageable deliverables for the team
- Ensure sustainable engineering practices and code quality standards
- Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices
- Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs
- Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices
- Lead by example through high-quality code contributions to critical or complex components
- Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team
- Assist SRE teams with improving stability, automation, and scalability
- Conduct code reviews with focus on architectural alignment and quality
- Support hiring processes and technical assessments for engineering candidates
- Partner with Engineering Managers through regular 1:1s and team planning sessions
- Collaborate with product management, UX, 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
- Take ownership of 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
- Work collaboratively in a fast-paced environment touching a variety of projects and products
- Build software that will meaningfully impact how people approach data privacy
- Strong knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse)
- Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, or Hudi)
- Deep understanding of data modeling techniques (Kimball, Data Vault, or dimensional modeling)
- Experience with columnar storage formats (Parquet, ORC)
- Strong knowledge of batch and stream processing architectures
- Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
- Understanding of CDC (Change Data Capture) patterns and tools
- Strong foundation in SRE principles and practices
- Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi)
- Proficiency in containerization and orchestration (Docker, Kubernetes)
- Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)
- Experience with CI/CD pipelines and DevOps practices
- Demonstrated experience leading architectural design and technical direction for engineering teams
- Proven ability to influence without authority and drive technical decisions across teams
- Strong 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 related technical discipline (or equivalent experience)
- At least 7 years of data warehouse, database, or data processing experience
- Proven experience in architectural or technical leadership roles
- Excellent ability to communicate clearly and concisely, both verbally and in writing
- Strong presentation skills and ability to articulate complex technical concepts to diverse audiences
- Experience with stakeholder management and aligning technical decisions with business context
- Motivated by delivering customer value, team impact, and technical excellence
Requirements
~1 min read- Experience architecting Microsoft 365 add-ins with focus on security, performance, and user experience
- Knowledge of data privacy, encryption, and zero-trust security models
- Familiarity with CI/CD pipelines and modern DevOps practices
- Contributions to open-source projects or technical community involvement
- Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
- Strong sense of urgency with an action-oriented mindset
- Able to collaborate and adapt to shifting priorities as business needs evolve
- Comfortable with asynchronous communication including slack, email, zoom, etc.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- April 16, 2026
- First seen
- April 15, 2026
- Last seen
- April 30, 2026
Posting Health
- Days active
- 14
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- April 30, 2026
Signal breakdown

Through groundbreaking technology, we are revolutionizing data privacy with Virtru.
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