Data Warehouse & Analytics Architect

Virtru; Washington (District of Columbia); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Flexible PTO

Learning & Development Stipend

Headspace access

Retirement plan (3%

Stock options

Job summary

Virtru is seeking a Data Warehouse & Analytics Architect with deep SRE experience to lead architecture and technical health of our data platforms. You will mentor engineers, design scalable data lakehouse solutions, and guide deployments across cloud environments while balancing hands-on coding with strategic leadership.

You will collaborate with engineering managers, product, and other architects to align the data strategy with business goals, drive reliability, performance, and security, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• At least 7 years of data warehouse, database, or data processing and analytics experience.
• Proven experience in architectural or technical leadership roles.

Responsibilities

• Lead system design and architecture reviews for scaled data warehouses and engineer and deploying web scale data analytics applications.
• Deep experience in SRE and deploying data and AI analytic applications at scale to clouds.
• Create and maintain architectural documentation, including ADRs, to ensure alignment with 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 features involving data storage, processing and deployments.
• Familiarity with DevSecOps, AIOps and MLOps.
• Monitor and improve technical debt across engineering teams related to data storage and SRE.

Skills

Cloud data architectures

SRE principles

Data modeling & warehousing

Architectural design leadership

Mentoring engineers

Data lakehouse design

Education

Bachelor's degree in Computer Science, Engineering, or related technical discipline

Tools

Terraform

Kubernetes

Datadog

Prometheus

Grafana

CI/CD pipelines

DevOps practices

Job description

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

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
• 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
• 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 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.

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as ...

• A Flexible PTO policy - we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge.
• A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
• Frequent company‑sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
• Access to an Employee Assistance Program
• Access to Headspace, a mental health app tailored to your specific needs.
• A flat 3% contribution to your retirement account
• A high degree of flexibility - Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DB&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority.

• Competitive compensation
• Generous parental, medical, and bereavement policies
• 401K contribution and stock options
• Full medical, dental, and vision benefits
• New Hire Swag and IT Welcome boxes
• Structured semi‑annual 360° performance reviews

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.