Senior Data Warehouse Engineer

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Architect, build, and maintain scalable, high-performance data warehouse solutions that support analytics and operational needs.
• •Develop reliable and well-documented data pipelines and ELT processes while maintaining strong standards for data quality and consistency.
• •Design and implement efficient data models and transformations using tools such as dbt and SQL.
• •Continuously optimize data warehouse performance through query optimization, partitioning, indexing, and other performance-tuning techniques.
• •Monitor, troubleshoot, and improve warehouse infrastructure while balancing performance, reliability, and cost efficiency.
• •Partner with data analysts and data scientists to transform raw data into actionable insights and support machine learning initiatives.
• •Work with modern cloud-based data warehouse technologies, including ClickHouse and other columnar data platforms.
• •Integrate data warehouse capabilities seamlessly with application and service infrastructure.
• •Contribute to the development of developer-facing data tools that make data more accessible and useful across engineering teams.
• •Establish and promote best practices for data engineering, data quality, documentation, testing, and maintainability.
• •Apply software engineering principles such as version control, code reviews, testing, and automation to data infrastructure.
• •Support data-driven decision-making by ensuring teams have access to clean, reliable, and well-structured information.
• •Collaborate effectively across a globally distributed organization and contribute to a strong engineering culture.