Data Warehouse, Analytics Architect

🔥 18 hours ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Virtru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

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 web-scale data analytics applications • Design and deploy data and AI analytics applications to cloud environments at scale • Create and maintain architectural documentation, including Architecture Decision Records • Design data lakehouses, data models, and integration patterns for databases and data as a service • Provide technical direction for scaling complex data storage, processing, and deployment initiatives • Apply DevSecOps, AIOps, and MLOps practices • Monitor and improve technical debt related to data storage, processing, and site reliability • Define technical health metrics and streamline technical onboarding with Engineering Managers • Drive reliability, performance, security, sustainable engineering, and code quality practices • Break complex technical tasks into manageable deliverables • Guide teams on data access, storage, deployment architecture, and development practices • Coach and mentor engineers on data warehouse, processing, and SRE architecture • Contribute high-quality code to critical or complex components • Assist SRE teams with stability, automation, and scalability • Conduct architecture-focused code reviews • Support engineering hiring and technical assessments • Partner with Engineering Managers, product management, UX, and other technical architects • Resolve cross-team dependencies and align technical roadmaps with product and business priorities • Own the lifecycle and toolchain of data components from design through deployment • Balance hands-on technical implementation with architectural responsibilities • Build software impacting 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 and analytics experience • Proven experience in architectural or technical leadership roles • Strong knowledge of cloud data warehouses, including BigQuery, Redshift, Synapse, and Snowflake • Strong experience with lakehouse platforms, including Apache Iceberg, Databricks, Delta Lake, or Hudi • Deep understanding of Kimball, Data Vault, or dimensional data modeling • Experience with Parquet or ORC columnar storage formats • Strong knowledge of batch and stream processing architectures • Experience deploying AI analytics at scale • Knowledge of SRE principles and practices • Experience with Terraform infrastructure as code • Proficiency in containerization and orchestration with Kubernetes • Knowledge of Datadog, Prometheus, Grafana, or similar monitoring and observability tools • Experience with CI/CD pipelines and DevOps practices • Experience leading architectural design and technical direction for engineering teams • Ability to influence without authority and drive technical decisions across teams • 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 • Excellent verbal and written communication • Strong presentation skills and ability to explain complex technical concepts to diverse audiences • Experience with stakeholder management and aligning technical decisions with business context • Ability to collaborate, adapt to shifting priorities, and communicate asynchronously

🏖️ Benefits

• Flexible PTO policy, in addition to 14 holidays • $1,500 annual Learning & Development Stipend • Company-sponsored team celebrations • Employee Assistance Program • Headspace mental health app • Flat 3% contribution to retirement account • High degree of flexibility for appointments, errands, or family emergencies • 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