Qlik Solution Architect

We are seeking an experienced Qlik Solution Architect to lead the design, architecture, and implementation of enterprise-scale analytics solutions using the Qlik platform. The ideal candidate will have strong expertise in Qlik Sense / QlikView architecture, data modeling, and BI strategy, and will work closely with business stakeholders, data engineers, and developers to deliver scalable and high-performance analytics solutions.

Key Responsibilities

• Design and implement end-to-end BI and analytics solutions using Qlik Sense / QlikView.
• Define enterprise BI architecture, including data integration, data modeling, governance, and security.
• Establish best practices and standards for Qlik development, deployment, and maintenance.

• Design optimized data models and ETL processes for Qlik applications.
• Integrate Qlik with various data sources such as databases, cloud platforms, APIs, and data warehouses.
• Ensure efficient data loading, transformation, and performance optimization.

• Architect scalable Qlik environments (on-premise / cloud).
• Manage Qlik server architecture, security, and performance tuning.
• Support migration strategies (e.g., QlikView to Qlik Sense).

• Provide technical leadership and mentorship to Qlik developers and BI teams.
• Collaborate with business stakeholders to translate requirements into scalable BI solutions.
• Establish governance frameworks, reusable assets, and development standards.

• Optimize dashboards and data models for large datasets and high concurrency usage.
• Implement monitoring, logging, and performance tuning strategies.

• Work with data engineers, architects, product owners, and business analysts to deliver analytics solutions.
• Participate in architecture reviews and enterprise data strategy initiatives.

Required Skills & Experience

• Strong expertise in Qlik Sense and/or QlikView architecture and development
• Advanced data modeling and scripting in Qlik
• Experience with ETL tools and data integration
• Strong knowledge of SQL, relational databases, and data warehousing concepts
• Experience with cloud platforms (AWS / Azure / GCP) is preferred
• Familiarity with REST APIs, data lakes, and big data technologies

• Experience designing enterprise BI architectures
• Knowledge of data governance, security models, and access control in Qlik
• Expertise in performance tuning and optimization