Senior Data Platform Engineer, Remote at Experian

Madison, Mississippi, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

275535.0

Posted On

22 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, RDS, EMR, Terraform, Python, CI/CD, Docker, Kubernetes, Spark, Kafka, Data Governance, Database Architecture, Infrastructure as Code, Multi-cloud Migration, Performance Tuning, Data Modeling

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description We are looking for an accomplished Principal Data Platform Engineer to lead the design, implementation, and governance of complex database and BigData 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 DevOps 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. 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. Qualifications Bachelor's degree in computer science, Information Systems, or a related field, or equivalent experience. 7+ years of overall Enterprise Data Platform Engineering experience, with 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. This 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. Additional Information Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits/Perks: 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 Explore all our exciting benefits here: https://myexperianbenefits.com/ Employee Status: Regular Role Type: Hybrid Job Posting - Salary Range: $153,075 - $275,535 Department: Data Management Flexible Time Off: 20 Days Schedule: Full Time Shift: Day Shift Compensation: USD 153075 - USD 275535 - yearly

Responsibilities

Lead the design, implementation, and governance of complex database and BigData solutions across AWS and private cloud environments. Collaborate with global teams to optimize scalable architectures and manage automated operations via CI/CD pipelines.