Qlik Architect

About the Company

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.
• ● 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.
• ● Platform & Infrastructure
• ● Architect scalable Qlik environments (on-premise / cloud).
• ● 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.

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.