Data Warehouse Technical Architect

🕒 April 16

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $180k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

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Virtru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🔒 Cybersecurity

📋 Compliance

Cybersecurity • Compliance • Software

Virtru is a data security company that specializes in secure collaboration and file sharing solutions. Their platform integrates with popular applications like Google Workspace and Microsoft 365 to provide encrypted file sharing and email protection. With a focus on data-centric security, Virtru empowers organizations across various sectors, including finance, healthcare, and government, to maintain control over sensitive data while ensuring compliance with strict security regulations.

📋 Description

• Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications • Deep experience in SRE and deploying application 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 machine learning infrastructure and MLOps • 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

🎯 Requirements

• 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 experience • Proven experience in architectural or technical leadership roles • Strong knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse) • Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, 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 • Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar) • Understanding of CDC (Change Data Capture) patterns and tools • Strong foundation in SRE principles and practices • Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi) • Proficiency in containerization and orchestration (Docker, Kubernetes) • Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar) • Experience with CI/CD pipelines and DevOps practices

🏖️ Benefits

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