Senior Data Platform Engineer

The Senior Data Platform Engineer role is responsible for designing, building, problem-solving, troubleshooting, and maintaining business intelligence platforms within the current technology environment. The role involves analyzing complex technical problems, developing appropriate solutions to maintain the overall integrity of the platform, including operating systems, hardware and software infrastructure that are critical to the company's user populace and application environments. They collaborate with other IT professionals such as Data Analysis, Application, Architect, and Database Engineers to ensure that all components of the platform are working efficiently, securely, and resiliently. The Senior Data Platform Engineer uses their extensive knowledge of both traditional and modern platforms to ensure high performance and reliability of the company's infrastructure, including both cloud and on-premises systems, in support of DevOps efforts and general business and IT objectives.

• Maintain the platform hardware, software, and network requirements in alignment with business needs and organizational standards defined
• Monitor system performance and troubleshoot issues as they arise to continuously improve platforms in alignment with application goals
• Manage and configure DevOps tools (such as API Gateway, Teraform) to support processes as per organizational needs
• Collaborate with DevOps engineering and production team to update, troubleshoot and maintain platforms and environments to bring new features and services into production
• Identify, prioritize, implement and maintain automated and orchestrated fulfillment mechanisms to optimize delivery of key platform services
• Coordinate the tasks of other teams that work within the target platform to ensure smooth operations
• Identify and mitigate security threats to comply with a strict security compliance
• Develop and implement security and resiliency policies, standards, and procedures to protect the infrastructure and ensure compliance with regulations
• Produce high-level design documentation where required
• Conduct technical research regarding user requests for new/modified systems or problem resolution
• Manage vendor relationships and discussions related to design docs, platform changes, and other modifications, as needed

Education

• Required

Bachelor's Degree in Computer Science or a related field. In lieu of a degree, at least 7 years of experience in the role of Platform Engineer or related position

• Preferred

Azure Solutions Architect, Certified Kubernetes Administrator (CKA), or AWS Certified DevOps Engineer preferred

Skills and Experience

• 4-6+ years of experience in platform engineering and infrastructure components
• Experience in automated interaction with physical, virtual, or cloud infrastructure
• Experience in managing and maintaining cloud-based environments such as AWS, GCP, or Azure
• Experience with monitoring and log management tools such as Nagios, Splunk, and ELK
• Experience in developing and implementing backup and disaster recovery strategies
• Excellent scripting experience in languages such as Python, PowerShell, and Bash
• Experience with Infrastructure as Code (IaC) and configuration management tools such as Ansible, Chef, and Terraform
  
  
  
  • Technical Skills
    
    
    
    • Programming Languages
    • Cloud Technologies & Platforms
    • Continuous Integration and Continuous Deployment (CI/CD)
    • DevOps Methodology
    • Software Packaging and Deployment Procedures Operating Systems
    • Network Operations, Configuration, & Services Containerization
    • Monitoring and Logging
    • Integration Technology
    
    
  
  

Preferred

• Experience with enterprise business intelligence and data platforms such as PowerBI, Tableau, Business Objects, MicroStrategy, Snowflake, and Fivetran.
• Familiar with networking fundamentals such as load balancers, firewalls, application proxies, and security brokers.
• Familiar with security fundamentals such as principle of least privilege, data encryption, data classification and tagging, and secrets management.
• Working knowledge of RESTful development practices.