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 s