Lead Data Platform Engineer

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. 

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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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