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 3 years experience building data models to support structured and semi-structured product data. Experience with product telemetry data is a plus
- Highly proficient in SQL. MQL (MongoDB Query Language) knowledge is a plus
- Experienced with at least one distributed query engine or cloud-based data warehouse, such as Trino or BigQuery
- 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, data warehousing and data security 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
- 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 and data warehouse that will be used for analytical and data science consumption
- Create and execute test plans to ensure data is accurate and performance meets SLAs
- Implement data security standards for data access
- Document metadata and lineage in the enterprise data catalog, promoting self-service data discovery and exploration
Success Measures- In 3 months, you’ll have fully ramped with our Business and Data teams
- In 6 months, you’ll have delivered at least one fully documented data model that provides value to the business
- In 12 months, you’ll have delivered multiple data models across a variety of use cases, and are comfortable working with all aspects of our internal data platform
**MongoDB is an equal opportunities employer.**