Data Engineer

FIS Global • Atlanta, GA

23h

About The Position

The Data Engineer will lead the engineering and operational delivery of enterprise data integration solutions that move Capital Markets data into Snowflake. The role combines hands-on Qlik Replicate and Snowflake engineering with production ownership, client onboarding, and modern data engineering practices to keep critical data services stable, secure, scalable, and ready for business use.

The Enterprise Data & AI Platform team provides the data-integration and platform capabilities supporting Capital Markets products and client data services. It operates and enhances Qlik Replicate and Snowflake-based data flows, supports production services for US and European clients, and partners with product, infrastructure, and support teams to onboard new clients safely and reliably.

Requirements

• Strong experience designing, building, and supporting enterprise data integration solutions and production-grade ETL/ELT pipelines.
• Practical knowledge of Qlik Replicate and Qlik Enterprise Manager, including full-load, CDC, task configuration, troubleshooting, and upgrades.
• Hands-on Snowflake experience with data loading, advanced SQL development, warehouse management, security concepts, and performance optimization.
• Experience working with structured and semi-structured data, data modeling, data quality, metadata, orchestration, monitoring, and troubleshooting.
• Understanding of cloud data architectures and experience supporting highly available, business-critical data platforms through disciplined change management and operational controls.
• Demonstrated technical leadership and clear communication skills, with the ability to coordinate onboarding, implementation, and incident resolution across distributed teams.

Nice To Haves

• Snowflake certification or significant experience implementing Snowflake in a large enterprise environment.
• Experience integrating Qlik Replicate with Snowflake or comparable cloud data platforms.
• Experience with Python and modern data pipeline or orchestration frameworks.
• Familiarity with data lake, data warehouse, and data mesh architecture patterns.
• Capital Markets or investment-management data experience.

Responsibilities

• Lead day-to-day engineering and production support for Qlik Replicate and Snowflake data services supporting clients in the United States and Europe.
• Design, build, and support scalable data pipelines using full-load, change-data-capture, and ELT patterns to ingest, transform, and deliver data from SQL Server-based Capital Markets applications into Snowflake.
• Develop and optimize Snowflake solutions, including data loading, SQL transformations, warehouse performance, security controls, and downstream data consumption patterns.
• Own technical delivery for new-client onboarding, including environment setup, replication configuration, data validation, testing, implementation, and transition to support.
• Investigate and resolve production incidents, coordinate recovery, and apply data engineering practices for monitoring, data quality, reliability, security, and production readiness.
• Plan platform upgrades and production changes, improve automation and runbooks, and partner with product, infrastructure, database, analytics, and support teams to guide complex technical delivery.

Benefits

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
• A variety of career development tools, resources, and opportunities.
• The chance to work on challenging and relevant issues in financial services and technology.
• A work environment built on collaboration, flexibility, and respect.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed