Job description
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
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 populate an enterprise data catalog with key technical and business metadata driving data discoverability, and facilitate the adoption of enterprise data governance policies and procedures.
This role will be based remotely in the United States.
Who?
- At least 3 years experience building data models to support structured and semi-structured product data including telemetry
- 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
- Familiarity with Python and rudimentary Prompt Engineering
- 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 and Iceberg
- Capable of juggling multiple projects simultaneously
- A lifelong learner who strives for continuous improvement
What?
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
- Validate and assess incoming product telemetry data, ensuring alignment with documentation and meeting Product Owners and other Stakeholders’ expectations by thorough cross-referencing and testing
- 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
- Scope and create SQL-based pipelines prioritizing data consistency and accuracy
- 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
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 is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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.
Req ID: 1263084049
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$76,000—$149,000 USD
