Data Architect 3
2 months ago
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 anywhere—on 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 plusHighly proficient in SQL. MQL (MongoDB Query Language) knowledge is a plusExperienced with at least one distributed query engine or cloud-based data warehouse, such as Trino or BigQueryCustomer focused, understanding that delivering business value is of utmost importanceSkilled at eliciting requirements and communicating across a diverse set of engineers and partnersWell-versed in core data lake, data warehousing and data security conceptsFamiliar with data catalog functionality, business glossaries, metadata management and data lineageFamiliar with cloud computing concepts and big data storage formats such as ParquetCapable of juggling multiple projects simultaneouslyA lifelong learner who strives for continuous improvementWhat?
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 processDesign data models and schemas within the internal data lake and data warehouse that will be used for analytical and data science consumptionCreate and execute test plans to ensure data is accurate and performance meets SLAsImplement data security standards for data accessDocument metadata and lineage in the enterprise data catalog, promoting self-service data discovery and explorationSuccess Measures
In 3 months, you’ll have fully ramped with our Business and Data teamsIn 6 months, you’ll have delivered at least one fully documented data model that provides value to the businessIn 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-
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