> Markdown version of [/jobs/ext/2732973-data-warehouse-analytics-architect](https://www.wearedevelopers.com/jobs/ext/2732973-data-warehouse-analytics-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Warehouse & Analytics Architect - **Company:** Virtru Corporation - **Location:** United States - **Experience:** Expert - **Salary:** $180,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Microsoft Windows, Artificial Intelligence, Business Analytics Applications, Data Analysis, Apache HTTP Server, BigQuery, Cloud Database, Code Review, Databases, Data Architecture, Data Infrastructure, Data Security, Data Vault Modeling, Data Warehousing, Software Design Documents, DevOps, Dimensional Modeling, Monitoring of Systems, Open Source Technology, Software Architecture, Reliability Engineering, Prometheus, Zero Trust Network Access, Software Engineering, Software Systems, Systems Architecture, Parquet, Datadog, Data Processing, Data Storage Technologies, Snowflake, Grafana, Technical Debt, Containerization, Data Lakes, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Data Lakehouse, Asynchronous Programming, Software Coding, Terraform, Stream Processing, Devsecops, Databricks - **Published:** September 5, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9146440/data-warehouse-analytics-architect ## About the Role * 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, * 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, * 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. ## Description 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)