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Job Description
We are looking for an established data expert and engineer to work with MongoDB and a number of our no-sql data stores to provide architectural recommendations as we expand how the organization leverages its data.
Preferred location is MN but open to US remote. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Main Responsibilities
- Maintain current MongoDB implementation and guide future expansion as the engineering team builds new features.
- Work with engineers and MongoDB DBAs to run daily scripts, monitor indexes, and monitor performance.
- Work with data engineers to expand MongoDB pipelines and monitoring.
- Establish practices and influence architecture as we expand our use of ElasticSearch .
- Provide guidance as we introduce additional graphing DB data stores.
- Work with leadership to help plan training and tools for helping onboard engineers to new features of our data technologies.
Candidates Must Have
- Experience designing and maintaining MongoDB solutions, including indexes, performance/query tuning, and aggregation.
- Working knowledge of MongoDB Atlas and MongoDB Atlas specific tools.
- The drive to push what we can do with data and lead the direction of new initiatives.
- Previous experience not only architecting no-sql data stores but establishing pipelines and automation around those data stores.
- At least 5 years working with MongoDB and prior experience with at least one other no-sql data store.
- Ability to mentor other engineers with prior experience building up communities of practice around data.
Nice to Have
- Familiarity of Java/Kotlin
- Experience working in Python for scripting or at the service layer
- Prior experience working with data lakes and the data that feeds ML models
- A desire to document technical architecture
- As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.