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Data Warehouse & Analytics Architect

1 month, 1 week ago
United States
Full-time
Senior
Data Architect
DevOps and Infrastructure
CI/CD Databricks Datadog DevSecOps Encryption GCP Grafana Kubernetes MLOps Prometheus Snowflake Terraform
Apply Now
Virtru

Virtru

Virtru is a global leader in data privacy and protection, providing easy-to-use data encryption solutions for email and file sharing, empowering users to keep their digital content secure even after sharing it online.

IT Services
51-250
Founded 2012
$140M raised
View All Jobs 4

Description

  • Lead architecture and system design reviews for scaled data warehouses and analytics applications.
  • Design data lakehouse architectures, data models, and data-as-a-service integration patterns.
  • Create and maintain architectural documentation, including Architecture Decision Records.
  • Own the lifecycle and toolchain of data components from design through deployment.
  • Drive reliability, performance, security, technical health, and code quality improvements.
  • Guide critical implementations while balancing hands-on coding with architectural responsibilities.
  • Coach and mentor engineers on data platforms, processing systems, warehouse architecture, and SRE practices.
  • Partner with engineering, product, UX, and architecture teams to resolve dependencies and align technical roadmaps.
  • Support SRE teams in improving platform stability, automation, and scalability.
  • Participate in code reviews, hiring assessments, and platform-wide architectural initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.
  • At least 7 years of experience in data warehousing, databases, data processing, or analytics.
  • Proven experience in architectural or technical leadership roles.
  • Strong knowledge of cloud data warehouses such as BigQuery, Redshift, Synapse, or Snowflake.
  • Experience with lakehouse platforms including Apache Iceberg, Databricks, Delta Lake, or Hudi.
  • Strong understanding of data modeling, including Kimball, Data Vault, or dimensional modeling.
  • Experience with batch and stream processing, columnar formats such as Parquet or ORC, and AI analytics at scale.
  • Experience with SRE practices, Terraform, Kubernetes, observability tools, CI/CD, and DevOps.
  • Ability to influence across teams, mentor engineers, manage dependencies, and communicate complex concepts clearly.
  • Preferred: experience with Microsoft 365 add-ins, data privacy, encryption, zero-trust security, or open-source contributions.

Benefits

  • $180,000–$220,000 annual compensation.
  • Flexible PTO plus 14 holidays and flexible work arrangements.
  • $1,500 annual learning and development stipend.
  • Full medical, dental, and vision coverage.
  • 401(k) contribution, stock options, and competitive compensation.
  • Generous parental, medical, and bereavement policies.
  • Employee Assistance Program and Headspace mental health support.
  • Team celebrations, welcome swag, and semi-annual 360° performance reviews.

Interested in this position?

Apply directly on the company website

Apply Now

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