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MongoDB Senior Solutions Architect Australia 988588888
24.06.2024
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As an ideal candidate, you will have
- 5+ years of customer facing technical experience
- 3+ years of pre-sales experience with enterprise software
- Solid understanding and ability to code with two or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
- Experience with scalable and highly available distributed systems
- Excellent presentation and interpersonal skills
- The ability to travel up to 20%
- A Bachelor’s degree or equivalent work experience
- 2+ years of software development experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- A MongoDB Certification
- Design systems, applications, and infrastructure to help drive software development projects using MongoDB
- Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
- Expertly articulate the business value of MongoDB solutions
- Align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
- Translate technical concepts and patterns into business benefits for management and executives
- Act as a liaison, collecting feedback from the field to relay back to the Product Management team
- Help drive demand through participation in both industry-known trade-shows as well account-based marketing events
- Demonstrate resilience and sound judgment in dealing with business challenges
- Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
- The rapidly growing MongoDB product suite, including
- Core database server
- Atlas (fully managed cloud database service)
- Atlas Data Lake, Atlas Full-Text Search, Realm and Charts
- Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
- Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
- Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security
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