Data Architect

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The database market is massive (the IDC estimates it to be $89B+ by 2024!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

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?

  • Demonstrated ability 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 partners
  • 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 partners 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

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

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.

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Location

MongoDB provides you with optionality in terms of your working model. This provides the flexibility to work from home when you want along with opportunities for collaboration and social interaction in a MongoDB office. Working models may be dependent on your specific role at MongoDB.

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