Data Warehouse Analyst Seniors: Cloud Engineering

Job Overview

FIS Management Services, LLC is seeking a Senior Data Warehouse Analyst in Jacksonville, FL.

• Architect, develop, and sustain comprehensive data warehouse systems and corresponding data marts using cloud-based solutions.
• Engineer and implement advanced ETL processes in a cloud-agnostic platform.
• Translate business requirements into sophisticated, long-term data models.
• Oversee and ensure optimal performance and reliability of cloud-based data warehouse operations.
• Collaborate extensively with data architects, reporting teams, and various business units to align data solutions with organizational objectives.
• Rigorously test cloud data warehouse systems and perform necessary upgrades to maintain system efficacy.
• Generate detailed data reports, visualizations, and dashboards to support business decision-making.
• Enhance data reliability, efficiency, and quality through continuous process improvements and robust data governance practices in the cloud.
• Design and implement robust database solutions and models to meet organizational needs.
• Evaluate database implementation procedures to ensure adherence to internal and external regulatory standards.
• Prepare comprehensive database design and architecture reports for management and executive review.
• Ensure the accuracy and integrity of data loaded into the cloud data warehouse.
• Assist in the development, maintenance, troubleshooting, and support of the enterprise’s cloud data warehouse system and related data marts.
• Innovate and develop new or enhanced components for the data warehouse system.
• Develop and enforce data security policies and procedures to ensure compliance with regulatory requirements.
• Implement and maintain security measures to protect data warehouse systems from unauthorized access and breaches.
• Ensure data encryption and secure data transmission methods are in place to protect sensitive information in the cloud.
• Manage the distribution of data across various cloud platforms and systems to ensure efficient data flow and accessibility.
• Develop and implement strategies for data distribution in the cloud to optimize performance and minimize latency.

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or related field and seven (7) years of progressively responsible experience in the job or a related occupation, utilizing Databricks for data engineering, analytics, and machine learning tasks, including proficiency in setting up and managing Unity Catalog for data discovery, classification, and lineage tracking.
• Working with Python scripting skills with libraries including PySpark, Pandas, Num Py, and Scikit-learn for data manipulation and analysis.
• Leveraging BigID for compliance with regulations (GDPR, PII, PCI) and implementing data governance frameworks.
• Managing and supporting API platform infrastructure both on‑premises and in the cloud, including installation, configuration, upgrades, troubleshooting issues, and API script development for pipeline support on Azure APIM and WSO2 platforms.
• Identifying, analyzing, and mitigating security vulnerabilities in data products using Check Marx and Blackduck.
• Working with CI/CD tools including Jenkins for automation, Git/Bitbucket for version control, and Harness for continuous delivery.
• Utilizing containerization Docker, AKS, or EKS technologies for creating, deploying, and managing containers.
• Working with Azure cloud services including Azure Storage, Azure Data Factory, Azure Data Lake Storage, Azure Logic Apps, Azure Functions, Azure Web Apps, Azure Key Vaults, and Azure Containers.
• Telecommuting and/or working from home may be permissible pursuant to company policies.

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The Equal Employment Opportunity Commission (EEOC) is the law, and a poster is available as required. For positions located in the US, a conditional offer of employment may require a drug test.

Accommodation requests will be evaluated on a case‑by‑case basis in accordance with the Americans with Disabilities Act (ADA).