Sr IT Architect - Data Engineering, Azure, and .NET

FIS•Jacksonville, FL

About The Position

We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS? Position Summary: FIS is seeking an experienced IT Architect Specialist to lead the design and implementation of modern cloud-native data platforms and data pipelines on Microsoft Azure. This individual will work closely with product, engineering, and architecture teams to define scalable solutions, establish technical standards, and guide development teams through delivery. The ideal candidate combines strong expertise in Data Engineering, Azure, Databricks, and .NET application architecture with proven experience mentoring teams, driving engineering excellence, and leading by example.

Requirements

Bachelor’s degree in computer science, Engineering, or related discipline.
12+ years of software engineering and architecture experience.
5+ years of experience designing enterprise-scale data platforms.
Deep expertise with Microsoft Azure.
Strong .NET/C# application architecture and development experience.
Experience with API-driven and microservices architectures.
Strong SQL and database design expertise, data lakehouse, data engineering.
Excellent communication and stakeholder management skills.

Responsibilities

Define and communicate the data and application architecture roadmap for cloud-native platforms.
Provide architectural guidance for .NET-based applications interacting with data platforms.
Define best practices for API design, integration patterns, microservices, and cloud-native application development.
Design scalable, secure, and resilient data platforms leveraging Azure services and Databricks.
Establish architecture standards, design patterns, and engineering best practices.
Evaluate emerging technologies and recommend adoption strategies.
Architect end-to-end data pipelines supporting ingestion, transformation, storage, and consumption of enterprise data.
Design and optimize ELT/ETL frameworks using Azure Data Factory, Databricks, ADLS, and related Azure services.
Develop strategies for batch and real-time data processing.
Ensure data quality, governance, observability, and performance across the platform.
Serve as a technical mentor and role model for engineering teams.
Lead architecture reviews, design discussions, and technical decision-making.
Work hands-on when necessary to demonstrate solutions and accelerate delivery.
Partner with product, engineering, operations, and security teams to ensure alignment.
Drive adoption of DevSecOps, CI/CD, Infrastructure as Code, and cloud governance standards.
Incorporate security, compliance, and SDLC standards into solution designs.
Promote engineering excellence through reviews, coaching, and continuous improvement initiatives.