Data Warehouse & Analytics Architect

About Virtru:

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.

Compensation: $180,000-220,000/year

Team & Position Details:

We are seeking a Data Warehouse & Analytics Architect with deep site reliability engineering (SRE) experience, who is 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.

As a Data Warehouse & Analytics Architect, your responsibilities will include:

Software Architecture & Design:

Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale data analytics applications

Deep experience in SRE and deploying data and AI analytic applications 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 DevSecOps, AIOps and MLOps

Technical Health & Quality:

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

Technical Leadership & Mentorship:

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

Collaboration & Strategic Partnership:

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

Execution:

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

Skills that will help you thrive in this role:

Technical Expertise:

Strong knowledge of cloud data warehouses (BigQuery, Redshift, Synapse, and Snowflake)

Strong experience with lakehouse platforms (Apache Iceberg, Databricks, Delta Lake, 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

Deploying AI analytics at scale

SRE principles and practices

Experience with infrastructure as code (Terraform)

Proficiency in containerization and orchestration (Kubernetes)

Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)

Experience with CI/CD pipelines and DevOps practices

Architectural & Leadership Skills:

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

Education & Experience:

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 and analytics experience

Proven experience in architectural or technical leadership roles

Communication & Collaboration:

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

Preferred Qualifications:

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

Virtruvian qualities that will set you up for success:

Thinking