● Data Integration Platform Management & Strategy:
○ Administer, configure, and optimize the integration platform.
○ Contribute to the strategic roadmap and evolution of our data integration platform landscape, evaluating new technologies and features.
○ Ensure the platform's security, compliance, and adherence to enterprise architectural standards.
● Platform Operations & Optimization:
○ Monitor platform performance, identify bottlenecks, and implement solutions for continuous optimization and scalability.
○ Manage platform capacity planning.
○ Apply a strong DevOps mindset to platform operations, actively contributing to the automation of deployment, monitoring, and management tasks (e.g., CI/CD pipelines, Jenkins, GitLab)
● Operational excellence:
○ Act as a technical advisor, providing guidance and mentorship to support and delivery teams, aiding in deep-dive analysis, and troubleshooting for complex integrations running on the integration platform, ensuring high availability and optimal performance.
○ Adhere rigorously to company-wide ITIL processes (incident, change, problem management) within a 24/7 support window, specifically for platform-related incidents.
● Architecture, Documentation & Standards:
○ Collaborate closely with data architects and other specialists to define, evolve, and enforce data integration platform patterns, security standards, and best practices.
○ Create and maintain comprehensive, high-quality documentation for platform configurations, operational runbooks, and architectural designs.
● Technical Guidance & Best Practices:
○ Provide technical expertise and guidance to data integration developers on leveraging platform capabilities effectively and adhering to best practices for optimal performance and reliability.
○ Drive adherence to technical best practices, coding standards, and performance optimization techniques within the platform's usage.
● Process Improvement & Innovation:
○ Proactively identify and champion opportunities to optimize platform-related processes, improve efficiency, and enhance data quality through automation, standardization, and the adoption of new tools and technologies within the platform ecosystem.
● Risk & Issue Management:
○ Proactively identify, analyze, and escalate complex technical risks and issues related to platform stability, security, and performance.
○ Contribute significantly to the development and implementation of robust mitigation strategies.
● Quality Assurance & Testing Strategy:
○ Develop and execute comprehensive testing strategies for platform capabilities, upgrades, and new feature deployments, ensuring stability, performance, and adherence to operational requirements.
● Technical Expertise & Thought Leadership:
○ Stay abreast of and evaluate the latest trends, emerging technologies, and best practices in data integration platforms, ETL/ELT tools, data streaming technologies, and cloud data services.
○ Apply relevant innovations to platform strategy and share knowledge with the broader team.
● Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.
● 8+ years of hands-on experience in the administration, optimization, and support of complex enterprise-grade data integration platforms with a major expertise in KONG.
● Proven expertise in managing, configuring, and troubleshooting highly scalable and performant data integration platforms.
● Good understanding and extensive hands-on experience with administering and optimizing the following integration and ETL tools: OIC, Kafka, Fivetran, Boomi, Workato or willing to master these platforms as well.
● Exceptional analytical, problem-solving, and debugging abilities with a meticulous eye for detail and a strong focus on platform stability and data integrity.
● Excellent communication, collaboration, and interpersonal skills, with the ability to influence technical discussions and work effectively across diverse teams.
● Ability to manage and prioritize multiple complex technical initiatives in a fast-paced, dynamic environment.
● Actively participate in a 24/7 support rotation schedule to ensure continuous operational coverage.
● Strong understanding and practical experience with DevOps principles and practices in a data platform context
● Experience with data governance, data quality frameworks, and metadata management specifically as it relates to platform capabilities.
● Experience with performance monitoring and logging tools for data platforms.
● Fluent in English