Lead Qlik Engineer

Raymond James Financial, Inc.; Saint Petersburg (FL); Hybrid; USD 95,000 - 125,000; Full time

Job summary

Raymond James Financial, Inc. seeks a skilled Qlik BI developer to design and optimize Qlik Sense applications, implement data models, and build scalable data pipelines. The role requires strong SQL, data integration across enterprise sources, and the ability to translate business requirements into technical solutions.

This position follows a hybrid workstyle in Florida with three office days per week, including a Monday or Friday, and not eligible for visa sponsorship.

Qualifications

• Proven Qlik Sense development and data modeling experience.
• Strong SQL skills and data integration across enterprise sources.
• Ability to translate requirements into scalable solutions.
• Experience troubleshooting data, app reloads, and performance.
• Understanding of development lifecycle: dev, test, deploy, and production support.
• Proven track record of delivering technical solutions independently.
• Strong communication and collaboration skills.
• Willingness to learn new technologies quickly.

Responsibilities

• Develop Qlik Sense apps and data models to meet business needs.
• Transform and integrate data from multiple sources.
• Collaborate with stakeholders and platform admins across lifecycle.
• Troubleshoot data issues, app refresh, and performance.
• Lead deployment and production support activities.
• Explore AI capabilities to improve processes and outcomes.

Skills

Qlik development

Qlik scripting

SQL

Requirements gathering

Troubleshooting data

Development lifecycle

Independent delivery

Communication

Learning agility

Tools

Qlik Cloud

CI/CD tooling

REST APIs

Git

Job description

This position follows our hybrid workstyle policy: expected to be in a Raymond James office location three days per week, with at least one of those days being a Monday or a Friday.

Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Required

• Demonstrated Qlik development experience, including Qlik Sense application development.

• Strong Qlik scripting, data modeling, data transformation, and data pipeline development skills.

• Strong SQL skills and experience integrating multiple enterprise data sources.

• Ability to gather and analyze business requirements and translate them into scalable technical solutions.

• Experience troubleshooting data, application, reload, and performance issues.

• Understanding of development lifecycle practices including development, testing, deployment, and production support.

• Proven track record of independently delivering technical solutions and achieving results.

• Strong communication, collaboration, problem-solving, and documentation skills.

• Demonstrated ability and willingness to quickly learn new technologies, platform capabilities, and development approaches.

Preferred

• Qlik Cloud / Qlik SaaS development or administration experience.

• Experience migrating or modernizing Qlik applications for cloud environments.

• Qlik Application Automation or other workflow automation experience.

• Qlik Data Gateway and cloud data connectivity experience.

• REST API and systems integration experience.

• Git, CI/CD, automation, or DevOps experience.

• Understanding of cloud security, identity and access management, role-based access controls, and governed development environments.

• Experience with additional Qlik capabilities beyond traditional application development.

• General cloud platform and modern data architecture experience.

Additional Information:

This role requires more than dashboard development. The individual should be capable of working across the application lifecycle—from understanding requirements and accessing and transforming data through developing, testing, deploying, troubleshooting, and supporting solutions in production.

Strong understanding of emerging technologies, including Artificial Intelligence (AI), Generative AI (GenAI), automation, and data-driven decision-making. They will drive complex initiatives from requirements discovery and documentation through implementation while helping identify opportunities to leverage AI capabilities to improve business processes, operational efficiency, and client outcomes.

They should be able to work effectively with business stakeholders, developers, platform administrators, data teams, and other technology partners and should contribute to technical standards, documentation, knowledge sharing, and continuous improvement