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Data Engineering Manager

Conde Nast 1 World Trade Center, New York, NY Full Time
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Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description

Location:

New York, NY

Condé Nast is home to many of the world's most-celebrated magazine and website brands.  The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content.  Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more.  Passion is the core of our philosophy at Condé Nast.  Our mission is not only to inform readers but to ignite and nourish their passions.

The Global Data Engineering team within the Global Product and Technology organization has a wide range of responsibilities and play a critical role in shaping how Condé Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry.

We are seeking a Data Engineering Manager to join our Global Data Engineering to manage very talented and highly performing data engineers to support a range of initiatives across various technical and business areas within Condé Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company, read on:

RESPONSIBILITIES

Responsibilities include, but are not limited to:

  • Participate in, and execute, a Data Engineering roadmap with input from Product, Engineering and Data Science

  • Build cross-functional relationships with Product Managers, Data Scientists, Software Engineers, BI Engineers, Analysts to understand needs for consumer data for initiatives

  • Architect, build, test, scale and maintain highly reliable data pipelines from a variety of batch data sources and real-time streams (Internal, third party, etc.), to understanding customer journeys across the landscape of our business

  • Assist data science in building datasets for their ML Pipelines

  • Design and build data infrastructure for our Enterprise Data workstream  

  • Ensure deliverables and timelines are communicated effectively to business stakeholders

  • Serve as a senior member of the data engineering team and be proficient in assisting the business with understanding data attributes

  • Be able to articulate technical requirements to engineers based on business requirements with guidance from Product Managers

  • Design and present recommendations to guide future business and research directions

  • Follow agile processes with a focus on delivering production-ready, testable deliverables in an iterable fashion.

MINIMUM QUALIFICATIONS

  • 5+ years experience of near realtime or batch data pipeline development in a large scale organization

  • Experience scaling & leading a large scale engineering project from end-to-end and managing 1-2 data engineers

  • Experience in writing reusable/efficient code to automate analysis and data processes

  • Data Architecture experience 

  • 3+ years of business/marketing analytics experience, preferably in a consumer-based organization

  • Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from web analytics, consumer analytics, and advertising

  • Experience architecting/implementing scalable, distributed, and highly available systems using AWS services such Kinesis, DynamoDB, S3

  • Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for business stakeholders

  • Ability to work independently, multitask, and drive your own projects

  • Proficiency in Python/PySpark, Scala or Java

  • Proficiency in SQL

  • Experience with Databricks/Spark, AWS ecosystem, Hadoop, Pig, Hive, Flink, or Beam.

  • Experience with orchestration tools such as Airflow

  • Comfortable with CI/CD Pipelines

  • Experience with Git version control, and other software adjacent tools

  • BS, MS, Ph.D., or equivalent industry experience in Computer Science, Software Engineering, or other related Science/Technology/Engineering/Math fields.

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What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

About the Company
Conde Nast
 New York City, NY, United States
Work at Conde Nast

About Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32... Read more