Principal Data Engineer (MongoDB)

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.

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.

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.
• Own the MongoDB/operational data store technical roadmap
• 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.
• Collaborate with the data lake and data warehousing teams around data that moves between the operational and analytical stores

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 7 years working with MongoDB and prior experience with at least one other no-sql data store.
• Some prior experience with Snowflake and enterprise data architecture
• 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
• Prior exposure to Apache Kafka
• A desire to document technical architecture

The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position.  Datasite reserves the right to modify this pay range at any time.

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.