Principal Data Platform Engineer, Remote

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 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

We are looking for an accomplished Principal Data Platform Engineer to lead the design, implementation, and governance of complex database and Big Data solutions that support large-scale, mission-critical business operations. You will have expertise in both on-premises and cloud-based Data Platform architectures across AWS
. You will also use Dev Ops and automation tools to refine provisioning, deployment, and monitoring. You will collaborate with architecture and business teams to enhance the data ecosystem and recommend solutions for complex challenges. You are a hands‑on technologist, able to guide innovation, performance, and scalability across diverse platforms. You will report to the Director of Data Strategy.

• Lead global teams in design and architecture discussions with partners, developers, and platform engineers.
• Implement scalable and secure database architectures for enterprise systems across multi‑availability‑zone, multi‑region cloud‑native platforms (AWS, and private cloud).
• Optimize applications and databases to use the full capabilities and cost efficiencies of AWS cloud‑native RDS & EMR platforms.
• Review, configure, and maintain globally distributed data platforms that are available and scalable. Collaborate with IT, Dev Ops, and application teams to ensure seamless integration with existing systems
• Manage automated operations, deployments, patching, upgrades, and capacity planning through CI/CD pipelines and Infrastructure as Code (IaC) tools ensuring secure and scalable database operations across multi‑cloud environments.
• Monitor, troubleshoot, and fine‑tune database performance to ensure scalability across multi‑cloud environments.
• Implement data protection strategies, including encryption and access controls. Support audit readiness and security reviews.
• Manage regular maintenance windows to ensure system uptime.
• Develop enterprise data models and enforce data standards, best practices, and governance frameworks to ensure data integrity and consistency.
• Research new technologies to enhance database efficiency
• Create clear, comprehensive documentation for database designs, configurations, and procedures.

• Bachelor's degree in computer science, Information Systems, or a related field, or equivalent experience.
• 10+ years of overall Enterprise Data Platform Engineering experience, with 6+ years focused on cloud‑based open platform database architecture, design, and engineering.
• Demonstrated expertise in multicloud database architecture, design, implementation, and cross‑platform migration, grounded in core principles and best practices across major platforms, including:
  AWS: RDS Databases, Aurora, EMR, Serverless, HBase, Hive, Spark, Kafka, Solr technologies
  Private Cloud: Self‑managed Data Platforms by Code.
• Experience with infrastructure‑as‑code (IaC) and Dev Ops automation tools with expertise in CI/CD pipelines and best practices with Terraform and Python skills.
• Familiarity with data governance and regulatory compliance frameworks (e.g., GDPR, HIPAA), along with security best practices.
• Experience diagnosing and resolving complex database issues
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana, Cloud Watch, Splunk, Dynatrace, and Database Insights).
• Experie…