Intapp is looking for a talented Lead Data Platform Engineer to join our team to help design, implement and support the Intapp data platform.

Responsibilities 

• Help design, implement and support the Intapp data platform micro-services using industry standards and best practices to integrate systems located on-premise and in the cloud. 
• Provide guidance and design oversight during product definition, requirements, and design phases. 
• Collaborate closely with Intapp Product, Data Science, and Engineering teams to help gather and develop business requirements. 
• Present technical concepts and specific solutions to internal and external audiences of varying technical capabilities in a clear, concise, and easily understood manner. 
• Coordinating and collaborating with other team members across time zones and locations to find solutions to complex problems. Share knowledge with your peers and also learn from them as required. 

Requirements 

• 7+ years of hands-on experience designing and building large scale multi-tenanted enterprise systems in Cloud 
• Expertise in AWS Architecture and Development 
• Strong knowledge in Cloud development practices, micro-services architecture, and Kubernetes 
• Expertise in JAVA and Spring Boot 
• Expertise in Object-Oriented principles and Design Patterns 
• Knowledge of CI/CD practices and tools such as Jenkins, Gradle, Git, Gitlab 
• Strong knowledge of Relational and Non-relational Databases, Data Modeling, and SQL Language and standards 
• Knowledge and Kafka and its implementation standards 
• Solid problem solving and analytical skills 
• Excellent communication skills 

Nice to Have 

• Python experience is a plus 
• Knowledge of Big Data Platforms such as Hadoop, Map Reduce, Spark SQL, and EMR is highly desirable 
• Understanding of finance and accounting domain 
• Knowledge in Stream processing platforms such as Spark Streams or Flink 
• Knowledge in Azure architecture and development   

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