Data Warehouse, Analytics Architect
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Job Description
Data warehouse architect designing scalable lakehouse and analytics infrastructure for Virtru’s secure data-sharing platform. Leading SRE, technical architecture, and engineering mentorship.
Responsibilities:
- 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
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