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 anywhereon the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining 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 configure a new enterprise data catalog, and facilitate the adoption of enterprise data governance policies and procedures.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
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
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
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
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 is an equal opportunities employer
