QlikSense Architect

LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.

QlikSense Architect

Experience: 12 to 22 years

Ghaziabad

Please share your updated resume – aditya.utekar2@ltimindtree.com

Primary Skill: QlikSense Architecture & Dashboard Design; Semantic Modeling & Visualization Best Practices; Integration with Data Lakehouse; BI Governance & Security.

Secondary Skills: Scripting & Automation in QlikSense, Performance Optimization Techniques,API Integration for BI Tools Knowledge of Geo-Spatial Visualization; Creative Thinking; User-centric approach; Collaboration; Good communication skills; problem solving.

The QlikSense Architect will design and implement advanced data visualization and analytics solutions using QlikSense for the client platform. This role requires expertise in BI architecture, dashboard development, and integration with large-scale data platforms to deliver actionable insights. The architect will ensure compliance with government standards, optimize performance, and enable self-service analytics for stakeholders.

Key Responsibilities:

1. BI Architecture & Design: Define and implement QlikSense architecture for enterprise-scale analytics. Design interactive dashboards, reports, and data models to support business intelligence needs. Establish best practices for QlikSense development, deployment, and governance.

2. Integration & Interoperability: Integrate QlikSense with data lake/lakehouse platforms (Teradata, Hadoop, Spark) and APIs. Ensure compliance with government interoperability and security standards.

3. Performance Optimization: Optimize QlikSense applications for speed, scalability, and user experience. Implement caching, load balancing, and efficient data modeling techniques.

4. Collaboration & Leadership: Work closely with Data Architects, ETL teams, and business analysts to align BI solutions with data architecture. Provide technical leadership and mentorship to QlikSense developers.

5. Monitoring & Governance: Implement robust monitoring and auditing for QlikSense environments. Ensure adherence to data governance, quality, and security standards.

6. Innovation & Continuous Improvement: Stay updated with emerging BI technologies and QlikSense features. Recommend innovative approaches to enhance analytics capabilities.

Regards,

Aditya Utekar

LTIMindtree