Senior Data Engineer
3 weeks 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.
We're seeking a highly skilled Data Architect to be a key member of our growing Data Architecture team. As a Data Architect, you will be the bridge between the business and data engineering teams, responsible for designing data models and schemas to produce high-performing, curated datasets in a mixed SQL and NoSQL environment. You will also configure a new enterprise data catalog, facilitate the adoption of enterprise data governance policies and procedures, and drive the implementation to completion.
Key responsibilities include partnering with Product Owners and other Stakeholders to document data requirements, utilizing your experience to provide insights and add value to the process. You will also 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, and document metadata and lineage in the enterprise data catalog, promoting self-service data discovery and exploration.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Requirements
- 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.
- Custome 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.
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