Apache Superset Architect

Job Summary

We are seeking an experienced Apache Superset Architect to design, implement, and optimize our enterprise data visualization and analytics platform. The ideal candidate will have strong expertise in Superset architecture, BI best practices, and scalable data solutions.

Key Responsibilities

• Design and architect end-to-end Apache Superset solutions aligned with business analytics requirements.
• Define Superset deployment strategies, including high availability, security, scalability, and performance tuning.
• Implement custom dashboards, data models, and visualization standards for business teams.
• Collaborate with data engineering teams to integrate Superset with modern data warehouses, SQL engines, and API sources.
• Establish governance frameworks, user roles, access controls, and best practices for dashboard lifecycle management.
• Drive automation for deployment, monitoring, and version management using CI/CD pipelines and containers.
• Evaluate Superset extensions, plugins, and custom visualizations to enhance platform capabilities.

Required Skills & Qualifications

• Strong hands-on experience architecting and administering Apache Superset in production environments.
• Deep understanding of SQL, data modeling, and modern data warehousing (Snowflake, BigQuery, Redshift, etc.).
• Experience with Docker, Kubernetes, CI/CD tools, and cloud platforms (AWS, Google Cloud Platform, Azure).
• Knowledge of authentication/authorization methods (OAuth, SSO, RBAC).
• Strong grasp of BI best practices, dashboard design principles, and performance optimization.
• Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience integrating Superset with large-scale distributed data systems like Presto/Trino, Druid, or ClickHouse.
• Background with frontend technologies for custom visualizations (React, TypeScript).
• Prior experience in a data architecture or BI architecture role.