WHAT YOU’LL DO:   

• Lead the Platform Engineering team to design, enhance, and automate the infrastructure and services that operate NX1 

• Work closely with NX1 Product team to define product roadmap, plan/test/execute new releases, and identify new features/capabilities 

• Enthusiastic mentor, guiding NX1 Support and Test Engineering teams for on-premises and cloud-based technologies using open-source Linux-based data technologies. 

• Configure/Customize Datadog and develop new integrations to monitoring, alerting, and performance profiling 

• Implement new tools, test and automate patches, and upgrade existing Data products. Recommend best practices to ensure minimal downtime while adhering to Nexus Cyber Security. 

• Evaluate new products, setup policies and optimize complex distributed production deployments, identify bottlenecks and recommend performance enhancements. 

• Develop and maintain technical documentation, including administration, plan rollout of new capability and knowledge base articles, to support operational excellence and knowledge sharing. 

• Work in an agile team and Participate in an on-call rotation, providing expert-level support and troubleshooting for critical issues. 

• Passionate about open-source and emerging technologies and industry trends.  

WHO YOU ARE: 

• In-depth understanding of managing both on-premises and cloud Modern Data architectures, ensuring seamless integration and efficient data flow. 

• Minimum of 5 years of experience managing and leading platform engineering teams.  

• Minimum 8 years hands-on experience with open-source Linux-based data technologies, including Datadog, Impala, Iceberg, Spark, Airflow, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, Kafka and Build/Manage Kubernetes containers 

• Proven ability to build and support solutions across major cloud platforms (AWS, Azure, GCP), leveraging cloud-native tools and open source for optimal performance. 

• Experience integrating Azure Active Directory with FreeIPA and other directory services such as LDAP, enhancing security and user management. 

• Up-to-date knowledge Cloudera Data Platform (Public or Private Cloud), with a proven track record of managing large-scale deployments. 

• Excellent verbal and written communication to articulate ideas and provide clear instructions. 

• Proven experience implementing and maintaining Data Federation, ETL, and Modern Data Lakehouse architectures.  This includes capacity planning, identifying bottlenecks, and optimizing memory utilization, CPU usage, OS performance, storage, and network configurations. 

• Strong analytical and problem-solving abilities, capable of efficiently diagnosing and resolving complex technical issues. 

• Demonstrated ability to mentor staff on the latest industry trends and technologies