Software Engineer Specialists – Analytics/BI Platforms

FIS Global • Jacksonville, FL

12d

About The Position

FIS Management Services, LLC seeks Software Engineer Specialists – Analytics/BI Platforms in Jacksonville, FL to develop and support scalable BI platform infrastructure across cloud and on-premises environments, with a focus on Tableau and ThoughtSpot. Collaborate with engineering and business teams to design and implement enhancements to data visualization platforms, ensuring performance, governance, and scalability. Automate deployment, monitoring, and maintenance of BI platform components using AWS, Azure, and on-premises resources. Provide technical training and mentorship to internal teams and clients on analytics platforms and infrastructure best practices. Monitor platform health and performance, manage SLAs and KPIs, and resolve complex support issues. Contribute to governance and security practices, including user access management, audit logging, and compliance with enterprise and financial industry standards. Participate in release planning and platform upgrades, ensuring minimal disruption and optimal performance. Document operational procedures and training materials for support teams and end users. Drive continuous improvement of the analytics ecosystem by applying emerging technologies and aligning with enterprise data strategy.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Telecommunication Engineering/ Management, or related field and eight (8) years of progressively responsible experience in the job offered or a related occupation: working with enterprise analytics infrastructure, cloud platforms, and BI systems
• managing Tableau Server or Tableau Public
• managing ThoughtSpot Embrace deployments
• designing, deploying, and administering highly available business intelligence platforms in both cloud (AWS, Azure) and on-premises environments
• architecting and managing secure, multi-tenant externally facing product solutions, including authentication/authorization strategies, capacity planning, performance optimization, disaster recovery, and upgrade strategies
• working in financial or regulated industries, data governance, PCI, SOX compliance standards and security best practices
• providing technical mentorship, collaboration, and operational support to external clients and cross-functional teams on enterprise analytics environments
• working with Snowflake cloud-based data warehousing platform for externally facing product solutions
• utilizing SQL and data visualization, with practical application in a professional setting to derive actionable business insights
• In the alternative, the employer will accept a Master’s degree in the above listed fields and six (6) years of experience in the above listed skills.
• Telecommuting and/or working from home may be permissible pursuant to company policies.

Responsibilities

• Develop and support scalable BI platform infrastructure across cloud and on-premises environments, with a focus on Tableau and ThoughtSpot.
• Collaborate with engineering and business teams to design and implement enhancements to data visualization platforms, ensuring performance, governance, and scalability.
• Automate deployment, monitoring, and maintenance of BI platform components using AWS, Azure, and on-premises resources.
• Provide technical training and mentorship to internal teams and clients on analytics platforms and infrastructure best practices.
• Monitor platform health and performance, manage SLAs and KPIs, and resolve complex support issues.
• Contribute to governance and security practices, including user access management, audit logging, and compliance with enterprise and financial industry standards.
• Participate in release planning and platform upgrades, ensuring minimal disruption and optimal performance.
• Document operational procedures and training materials for support teams and end users.
• Drive continuous improvement of the analytics ecosystem by applying emerging technologies and aligning with enterprise data strategy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level