Staff Data Engineer
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Job Description
Staff Data Engineer at Netwrix transforming customer data security approaches. Designing data models and schemas for enterprise systems ensuring visibility and control across platforms.
Responsibilities:
- Design and maintain standardized data schemas used across different data sources and storage systems
- Define data contracts and models to ensure consistent representation of entities such as users, groups, resources, and permissions
- Develop and maintain schema evolution and versioning processes to support iterative product development
- Ensure data models are optimized for both transactional and analytical workloads
- Collaborate with engineering and product teams to align data models with business logic and reporting requirements
- Design and optimize ClickHouse schemas for analytical and time-series workloads
- Maintain PostgreSQL schemas for metadata, configuration, and application-level data
- Develop indexing, partitioning, and retention strategies that balance performance, scalability, and cost
- Define transformation specifications to ensure consistency between raw and analytical data layers
- Establish naming conventions, data types, and relationship standards for all stored data
- Implement validation and normalization checks to ensure incoming data adheres to defined schemas
- Partner with QA and product teams to verify that stored data accurately represents system behavior and business intent
- Maintain clear documentation and metadata definitions for all datasets and structures
- Manage schema migrations and versioning through CI/CD workflows
- Collaborate with DevOps teams to deploy and monitor databases in Kubernetes-based environments
- Use Infrastructure as Code tools (Helm, Terraform, or similar) for consistent database provisioning
- Support observability and monitoring for data performance and reliability.
Requirements:
- 5+ years of experience in data engineering, backend development, or database architecture
- Hands-on experience with ClickHouse or other columnar analytics databases (e.g., Redshift, BigQuery, Snowflake)
- Strong proficiency in PostgreSQL and SQL query optimization
- Solid understanding of database administration, indexing, and performance tuning
- Demonstrated experience designing data models for complex or multi-system environments
- Familiarity with data contracts, schema evolution, and versioning best practices
- Experience enforcing data standards and conventions across teams or systems
- Understanding of metadata and documentation management (e.g., dbt, OpenMetadata, or similar)
- Experience deploying and managing databases with Kubernetes and containers
- Knowledge of CI/CD pipelines and Infrastructure as Code (Helm, Terraform, GitHub Actions, etc.)
- Understanding of observability and performance monitoring for data systems.
Benefits:
- Competitive Health Benefits
- Continuous Learning and Development Opportunities
- Team-Oriented, Collaborative, and Innovative Work Environment
- Regular Company Town Halls to Keep You Informed
- Opportunities for Career Growth and Advancement
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