Staff Software Engineer - Data, Analytics, and AI/ML Platform

Employment Type: Full-time Location Type: Remote Salary: Not specified

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Position Overview

Experian is seeking a Staff Software Engineer with a platform mindset to help shape the future of our enterprise-wide Data, Analytics, and AI/ML platform capabilities. This role is focused on building foundational capabilities—the architecture, infrastructure, and reusable services—that power data-driven and AI-enabled products across the organization, rather than building one-off ML models or applications. You will report to the Senior Director of Platform Engineering.

Responsibilities

• Architect and build core platform components that support the entire data, analytics, and AI/ML lifecycle, including data processing, feature engineering, model training/serving, observability, and governance.
• Define solution architectures for internal platform capabilities and reference implementations for common AI/analytics use cases.
• Lead the build vs. buy evaluation for components such as MLOps frameworks, vector stores, orchestration layers, and AI development tools.
• Stay current with modern data and ML architectures, including lakehouses, LLM orchestration patterns, and multi-tenant model serving.
• Partner with engineering, data science, and product teams to enable enterprise-scale adoption of shared platform services.
• Guide platform integration with public cloud services (AWS preferred), CI/CD pipelines, and observability stacks.
• Drive internal adoption by influencing engineering teams across global and regional product lines.
• Mentor engineers on platform best practices, architecture decisions, and scalability patterns.

Qualifications

• 8+ years of software engineering experience, with deep exposure to building platforms for data, analytics, or ML/AI workloads.
• Background in distributed systems, cloud-native architecture, and data-intensive platforms.
• Proficiency in Python, Java, or Scala.
• Experience with big data processing frameworks (e.g., Spark, Flink) and modern data architectures (e.g., Lakehouse, Delta Lake, Apache Iceberg).
• Experience with cloud platforms (AWS preferred), including Terraform, Helm, or other Infrastructure-as-Code tools.
• Solid knowledge of Docker, Kubernetes, and building production-grade CI/CD pipelines.
• Track record of architectural leadership, influencing technology adoption, and driving platform reuse across teams.

Benefits & Perks

• Great compensation package and bonus plan.
• Core benefits, including medical, dental, vision, and matching 401K.
• Flexible work environment: ability to work remotely, hybrid, or in-office.
• Flexible time off, including volunteer time off, vacation, sick days, and 12 paid holidays.

Experian Culture

Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering, and more. Experian's people-first approach is award-winning, recognized as one of the World's Best Workplaces™ 2024 (Fortune Top 25).