Senior Qlik Sense Architect for AI-Driven Analytics

Bloomberg; New York (NY); Vor Ort; USD 160.000 - 220.000; Vollzeit

Benefits dieser Stelle

Benefits plan

Zusammenfassung

Bloomberg seeks a Senior Full-Stack Qlik Sense Cloud Engineer to architect and scale the enterprise Qlik portfolio within the Engineering COO Office. You will translate strategic objectives into scalable analytics architectures and deliver full-stack BI solutions leveraging AI, NLP, and data pipelines.

You will collaborate with Product Owners and Engineering leaders to design executive-level interfaces, oversee data architecture, and advance an AI-ready infrastructure across the enterprise.

Qualifikationen

• 5+ years hands-on experience developing, architecting, and deploying Qlik Sense Enterprise or Qlik Cloud applications, ETL tools and data pipeline development.

Aufgaben

• Partner to senior stakeholders to translate business objectives into intuitive analytics applications.
• Design sophisticated Set Analysis, dynamic dimensions, and interactive visualizations across complex datasets.
• Architect scalable, access-controlled data models and robust ETL pipelines with semantic data layers.
• Leverage Qlik Cloud features including Qlik Answers, App Automations, Alerting, and Qlik Predict.
• Design and maintain automated workflows using Qlik Application Automation and REST APIs to orchestrate data reloads and integrations.
• Optimize performance, governance, and security with Row-Level Security and robust data entitlements.

Kenntnisse

Qlik Sense

SQL

Data modeling

ETL pipelines

Stakeholder comms

Project management

AI tools

Set Analysis

Front-end viz

Governance

Tools

Qlik Sense Enterprise

Qlik Cloud

SQL databases

Jobbeschreibung

Bloomberg seeks a Senior Full-Stack Qlik Sense Cloud Engineer to architect and scale the enterprise Qlik portfolio within the Engineering COO Office. You will translate strategic objectives into scalable analytics architectures and deliver full-stack BI solutions leveraging AI, NLP, and data pipelines.

You will collaborate with Product Owners and Engineering leaders to design executive-level interfaces, oversee data architecture, and advance an AI-ready infrastructure across the enterprise.