Senior Data Platform Engineer, Remote

Experian

19h • Remote

About The Position

Experian is seeking an accomplished Principal Data Platform Engineer to lead the design, implementation, and governance of complex database and BigData solutions supporting large-scale, mission-critical business operations. This role requires expertise in both on-premises and cloud-based Data Platform architectures, particularly on AWS. The engineer will leverage DevOps and automation tools to refine provisioning, deployment, and monitoring, and collaborate with architecture and business teams to enhance the data ecosystem and propose solutions for complex challenges. This is a hands-on technologist role, guiding innovation, performance, and scalability across diverse platforms.

Requirements

• Bachelor's degree in computer science, Information Systems, or a related field, or equivalent experience.
• 7+ years of overall Enterprise Data Platform Engineering experience.
• 5+ years focused on cloud-based open platform database architecture, design, and engineering.
• Demonstrated expertise in multi-cloud database architecture, design, implementation, and cross-platform migration, grounded in core principles and best practices.
• Expertise spans across major platforms, including AWS and Private Cloud.
• On AWS, expertise includes RDS Databases, Aurora, EMR, Serverless, HBase, Hive, Spark, Kafka, and Solr technologies.
• In Private Cloud, expertise involves Self-managed Data Platforms by Code.
• Experience with Terraform and DevOps 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 with containerization and orchestration tools such as Docker and Kubernetes.
• Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, and Database Insights).
• Experience with business continuity planning and high-availability architecture design.

Responsibilities

• 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, DevOps, 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 501-1,000 employees