AAI Data Engineer – Enterprise Platform

FIS Management Services LLC; Jacksonville (FL); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Remote work flexibility

Job summary

FIS Management Services, LLC in Jacksonville, FL seeks an AAI Data Engineer - Enterprise Platform to design and develop data platforms for finance and operations. You will build and optimize Snowflake-based data pipelines, administer Snowflake with RBAC and encryption, and automate identity integrations (SAML/SCIM/OAuth) across cloud environments.

Responsibilities include migrating legacy systems to modern cloud platforms, tuning OLAP/BI workflows for cost and performance, and delivering

Qualifications

• Master’s degree in Computer Science or related field.
• 3 years of experience designing and optimizing data pipelines with SQL, Python, and Snowflake.
• Experience with Databricks, PySpark, and ELT/ETL processes.
• Cloud data environments with RBAC and identity integrations (SAML, SCIM, OAuth).
• Azure and AWS data solutions including S3/ADLS and API data movement.
• Experience with data modeling, fact/dimension modeling, and semantic layers.

Responsibilities

• Design and develop enterprise-scale data pipelines and warehousing.
• Administer Snowflake environments, including access controls and replication.
• Automate account and role management using SAML/SCIM/OAuth.
• Migrate legacy systems to cloud platforms.
• Optimize OLAP/BI workflows for performance and cost.
• Develop executive-level reports for cost optimization.
• Integrate Databricks as a data source for Snowflake pipelines.

Skills

SQL

Python

Snowflake

Databricks

PySpark

ELT/ETL

Data modeling

BI concepts

SAML integration

OAuth

Education

Master’s degree in Computer Science or related field

Tools

Azure

AWS

S3/ADLS

Fivetran

RBAC

Delta Lake

Snowflake governance

Job description

Job Description

FIS Management Services, LLC seeks AAI Data Engineer - Enterprise Platform in Jacksonville, FL to design and develop financial technology platforms to enable data-driven decisions for finance and operations. Build and optimize enterprise-scale data pipelines and data warehousing solutions using Snowflake, ensuring performance, reliability, and cost efficiency. Write and tune complex SQL queries for large-scale data processing and implement advanced optimization strategies. Administer Snowflake environments extensively, including user roles, RBAC, privileges, access control, encryption, TSS key rotation, compliance checks, resource monitors, warehouse sizing, and replication strategies for high availability. Implement data governance measures such as masking policies, secure access controls, and encryption standards. Automate account and role management using identity protocols including SAML, SCIM, & OAuth and configure storage/API integrations for seamless data ingress and egress including Fivetran based ingestion pipelines. Collaborate with internal teams and external partners to migrate legacy systems to modern cloud platforms and deliver end-to-end data applications. Optimize OLAP/BI workflows for performance and cost-efficiency while maintaining data integrity. Enforce security standards, configure network policies, manage IP ranges, and ensure encryption for secure operations. Develop executive-level reports to support strategic decisions and cost optimization. Integrate Databricks primarily as a data source for Snowflake pipelines. Build and maintain ingestion workflows using PySpark and Delta Lake for secure, scalable data transfer into Snowflake. Configure connections with Amazon S3 and Azure Data Lake Storage for efficient data movement. Apply governance policies and troubleshoot ingestion performance issues to ensure smooth transformation processes. Maintain high standards of security, compliance, and operational excellence across all data platforms. Leverage Snowflake’s integrated AI capabilities—including Cortex functions, governance controls, and secure in platform execution—to apply AI directly on enterprise data without data egress and support enterprise Data & AI initiatives. Skilled in cross-platform data integration and automation using APIs and cloud-native services.

Requirements

Master’s degree or foreign equivalent in Applied Computer Science, Computer Science, Computer Engineering, or related field and three (3) years of experience in the job offered or a related occupation: designing and optimizing data pipelines using SQL, Python, and Snowflake, including ELT/ETL and performance tuning; building scalable data processing workflows with Databricks and PySpark; administering cloud data environments with RBAC, identity integrations (SAML, SCIM, and OAuth), and security controls; deploying and managing data solutions in Azure and AWS, including S3/ADLS and API based data movement; and applying data modeling and BI concepts, including fact/dimension modeling and semantic layer development.

Telecommuting and/or working from home may be permissible pursuant to company policies.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

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.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test.

ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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