Engineering Lead Analyst

• Evaluate, engineer, and enable data federation tools, specifically focusing on the efficient integration and accessibility of data across diverse business lines and disparate data sources
• Evaluate and certify new product features and releases through structured testing and validation to ensure compatibility, performance, and security within the enterprise environment
• Demonstrate strong analytical ability in designing solutions with complex architectures involving multiple integrated platforms
• Engineer and customize enterprise platforms to align with evolving organizational requirements, ensuring scalability, reliability, and maintainability
• Design, build, and deliver containerized solutions, ensuring optimal resource utilization and scalability
• Collaborate cross-functionally with operations teams to provide technical guidance, develop fit-for-purpose automation tools, and support production needs
• Engage with external vendors and internal stakeholders to coordinate product features, raise enhancement requests, and resolve technical issues efficiently
• Liaise with end users and internal customers to gather requirements, provide technical solutions, and deliver a high standard of service and support
• Contribute to the overall system architecture and engineering strategy, promoting automation-first approaches and reusable design patterns
• Document processes, solutions, and best practices to ensure transparency, knowledge sharing, and operational excellence.

• 10+ years of IT experience
• Expertise spanning 5+ years in the administration or development of Starburst Enterprise Platform and Trino, with a strong preference for extensive administration experience
• 8+ years with Business Intelligence (BI) products (e.g., Tableau, Cognos, MicroStrategy)
• 6+ years with Linux operating systems, including extensive experience with VMware environments
• 8+ years in Unix Shell scripting, Ansible, Terraform, Python scripting, and Java for robust automation and development
• 4+ years architecting, deploying, and managing solutions utilizing containerization technologies, including Docker, Kubernetes, OpenShift, and Helm, in production environments
• 6+ years of hands-on experience in SQL language, complemented by a strong command of multiple Relational Database Management Systems (RDBMS), HiveQL, and Spark for data manipulation and analysis
• Experience in implementing and managing Single Sign-On (SSO), OAuth, LDAP, and AD integrations
• Experience working with AWS/GCP. Certification is preferred.

Experience working with AWS/GCP certification preferred.

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including vacation, sick leave, and paid holidays.