DATA ARCHITECT SEATTLE

MongoDB; Seattle (WA); Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company in data technology is seeking a Data Architect to design and implement data models and ensure governance across the organization. This role supports both business and data engineering teams in fostering innovative solutions, while promoting a collaborative and inclusive work environment.

Benefits

Employee affinity groups

Fertility assistance

Generous parental leave policy

Qualifications

• At least 3 years experience building data models for structured and semi-structured data.
• Familiar with cloud computing concepts and big data storage formats.
• Skilled at requirements elicitation and communication across diverse teams.

Responsibilities

• Partner with Product Owners to document data requirements.
• Design data models and schemas for analytical consumption.
• Implement data security standards for data access.

Skills

SQL

Data modeling

Data governance

Python

Prompt Engineering

Tools

Trino

BigQuery

Job description

MongoDBs 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 anywhereon premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, its 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 Austin, New York City, Seattle, or California.

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, youll have fully ramped with our Business and Data teams
• In 6 months, youll have delivered at least one fully documented data model that provides value to the business
• In 12 months, youll 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, were 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.

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.

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