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Advance Magazine Publishers Inc. Data Engineering Manager in New York, New York

Conde 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, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others. Conde Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.
Job Description

Location:New York, NY

Conde 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 Conde 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 Conde 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 Conde 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.
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.

Conde 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.

Conde 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, and other legally protected characteristics.

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