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Data Architect

Posted on Feb 20, 2020 by MongoDB

New York City, NY
IT
Immediate Start
Annual Salary
Full-Time
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.

Who?
* At least 5 years experience as a data modeler, with a mix of SQL and
NoSQL skills preferred
* Highly customer focused, understanding that delivering business value is
of utmost importance
* Skilled at eliciting requirements and communicating across a diverse set
of engineers and stakeholders
* Well-versed in core data lake and data warehousing 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
* Experienced with at least one BI Tool like Tableau, Looker, Chartio, or
PowerBI
* 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 to satisfy
multiple use cases for both SQL and MQL (MongoDB Query Language)
consumers
* Create and execute test plans to ensure data is accurate and performance
meets SLAs
* Map the flow of data within MongoDB products and across third-party
systems such as SalesForce, Marketing systems, Billing systems, and more
* Configure an enterprise data catalog to manage business terms, metadata,
and lineage; promoting self-service data discovery and exploration
* Work with stakeholders to design and implement light-weight data
governance policies and procedures that do not stifle agility
*
Success Measures
* In 3 months, you ll have fully ramped with our Business and Data team
* In 6 months, you ll have delivered multiple data models for datasets
across a variety of use cases
* In 12 months, you ll have implemented the enterprise data catalog,
incorporating metadata management and data governance into the building
and sharing of all curated datasets across the enterprise
*
*MongoDB, Inc. provides equal employment opportunities to all employees and
applicants for employment and prohibits discrimination and harassment of any
type 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*

Reference: 25580777

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