We are seeking an experienced Qlik 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
Development
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
Data Integration & Modeling
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
Manage Qlik server architecture, security, and performance tuning
Support migration strategies (e.g., QlikView to Qlik Sense)
Leadership & Governance
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
Performance & Optimization
Optimize dashboards and data models for large datasets and high concurrency usage
Implement monitoring, logging, and performance tuning strategies
Collaboration
Work with data engineers, architects, product owners, and business analysts to deliver analytics solutions
Participate in architecture reviews and enterprise data strategy initiatives
Requirements
Banking and domain
Qlik delivery inside banks for compliance, risk or regulatory users
Multi-country, multi-segment access models in a regulated bank
Qlik architecture
Domain-driven Qlik architecture: a central foundation data model, consolidated QVD layers and independently deployable subject-area apps
Section Access and row-level security by country, business unit, customer segment and function, including security migrations with minimal report redesign
Master measures, dimensions, KPIs and dashboard templates; development standards for multi-team estates
Reload and app performance tuning at billions-of-rows scale
Pushing transformation logic down to the data warehouse using SQL on Teradata and Trino/Impala
Qlik Sense Enterprise and Qlik Cloud, QMC, scripting, incremental loads and ODAG
Data and governance
Metadata, lineage and data dictionary management for reporting assets
Reconciling dashboard figures to source systems
Delivery and communication
Leading a Qlik re-architecture or migration from design to production
Guiding Qlik developers and running design reviews
Good-to-have Skills
Qlik NPrinting, Qlik Automate, and the Engine and Capability APIs
Microsoft Power BI: DAX, RLS and semantic models
Exposing report catalogues and KPI definitions to generative BI or LLM tools
Certifications (preferred): Qlik Sense Data Architect; Qlik Sense System Administrator; Microsoft PL-300.