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Experian

We're unlocking the power of data to help create a better tomorrow.

Senior Data Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

91 days ago

Salary

$153.1K - $275.5K / year

Seniority

Senior

Job Description

Senior Data Platform Engineer

Experian

• 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

Job 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, 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
  • On AWS, expertise includes RDS Databases, Aurora, EMR, Serverless, HBase, Hive, Spark, Kafka, and Solr technologies
  • 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

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

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