Senior Data Platform Engineer

Job summary

Clio is seeking a Senior Data Platform Engineer to join their Security team, focusing on building scalable logging architectures and robust data pipelines.

Qualifications

• Proven Senior-level expertise building enterprise-scale logging and data ingestion systems
• Data architecture experience designing data lakes
• Mastery of big data technologies and processing systems
• Experience in Data Modelling using one or more methodologies
• Streaming data expertise with Apache Kafka and similar platforms
• Cloud storage architecture experience with AWS S3 and Azure Data Lake
• Performance optimization skills for high-volume data ingestion
• Infrastructure as Code proficiency with Terraform or CloudFormation
• Data pipeline engineering experience with Apache Spark or Flink
• API and integration design for secure access to log data

Responsibilities

• Contributing to the design and architecture of scalable logging infrastructure
• Building and optimizing high-throughput log ingestion pipelines
• Architecting ELK stack deployments and hybrid cloud logging solutions
• Designing data retention and cost optimization strategies
• Partnering with the security team lead to develop the logging platform roadmap
• Building Infrastructure as Code for logging infrastructure provisioning
• Optimizing query performance across multiple data stores
• Designing API and integration layers for log data access
• Contributing to capacity planning and architectural decisions
• Mentoring engineering team members on logging best practices

Skills

Relocation