MongoDB is growing rapidly and seeking a Data Architect to be a key member of a growing Data Architecture team; overseeing the governance, management and stewardship of data across the organization. As a Data Architect, you will be the bridge between the business and data engineering teams.  You will design data models and schemas to produce high-performing, curated datasets in a mixed SQL and NoSQL environment, and drive the implementation to completion.  You will configure a new enterprise data catalog, and facilitate the adoption of enterprise data governance policies and procedures.

Who?

• At least 5 years experience as a data modeler, with a mix of SQL and NoSQL skills preferred
• Highly customer focused, understanding that delivering business value is of utmost importance
• Skilled at eliciting requirements and communicating across a diverse set of engineers and stakeholders
• Well-versed in core data lake and data warehousing concepts
• Familiar with data catalog functionality, business glossaries, metadata management and data lineage
• Familiar with cloud computing concepts and big data storage formats such as Parquet
• Experienced with at least one BI Tool like Tableau, Looker, Chartio, or PowerBI
• Capable of juggling multiple projects simultaneously
• A lifelong learner who strives for continuous improvement

As a Data Architect, you will 

• Partner with Product Owners and other Stakeholders to document data requirements, utilizing your experience to provide insights and add value to the process
• Design data models and schemas within the internal data lake to satisfy multiple use cases for both SQL and MQL (MongoDB Query Language) consumers
• Create and execute test plans to ensure data is accurate and performance meets SLAs
• Map the flow of data within MongoDB products and across third-party systems such as SalesForce, Marketing systems, Billing systems, and more
• Configure an enterprise data catalog to manage business terms, metadata, and lineage; promoting self-service data discovery and exploration
• Work with stakeholders to design and implement light-weight data governance policies and procedures that do not stifle agility

Success Measures

• In 3 months, you’ll have fully ramped with our Business and Data teams
• In 6 months, you’ll have delivered multiple data models for datasets across a variety of use cases
• In 12 months, you’ll have implemented the enterprise data catalog, incorporating metadata management and data governance into the building and sharing of all curated datasets across the enterprise

*MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws*