Data Warehouse & Analytics Architect

Virtru•Washington, DC

4d•$180,000 - $220,000

About The Position

Virtru is a company focused on data protection that allows intentional sharing without sacrificing security, privacy, or control. They have developed a suite of data protection applications and an open platform based on the Trusted Data Format (TDF) open standard. Virtru aims to create a new paradigm where security enables sharing. Backed by prominent investors, they serve Fortune 500 companies and government agencies, emphasizing that true data security provides freedom to share, collaborate, and innovate without compromise. This role is for a Data Warehouse & Analytics Architect with deep site reliability engineering (SRE) experience, dedicated to architectural excellence and technical leadership for Virtru's digital privacy products. The ideal candidate will have a passion for digital privacy, data architecture, and delivering exceptional technical solutions. This player/coach role focuses primarily on architecture, design, and technical health, while also contributing to critical technical implementations. The architect will partner with Engineering Managers and other technical architects to provide expertise for designing, building, and operating mission-critical data infrastructure at scale. The position is at the cutting edge of Zero-Trust security.

Requirements

Deep site reliability engineering (SRE) experience
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
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

Nice To Haves

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.

Responsibilities

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