Manager of Data Engineering

Compensation

: $94,330.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Loading some great jobs for you...





Manager of Data Engineering - Global Media Company

New York, NY

Comp. 190-220k.


The Company

Global media company producing the highest quality content across print, digital, video, social, experiences and more. Video content generates more than 1 billion views. 84 million consumers in print, 366 million in digital and 384 million across social platforms.


The Role

The Data Services team is seeking a Director of Data Engineering with a passion for managing technical, data-heavy engineering operations. This person will be responsible for overseeing all engineering related activities of the team, ensuring proper execution of duties and alignment with the business s overall vision.


The person will be a seasoned organizational and people leader, with deep understanding and experience of data architectures, information systems deployment and storage techniques and information management.


Primary Responsibilities

  • Cultivate a customer-centric, results-driven data engineering organization
  • Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc
  • Collaborate with Data Science, Marketing Science and Data Product teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives
  • Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning,and data model designs with a focus on delivering actionable insights
  • Make sound architectural decisions across relational, multi-dimensional, distributed and object-based storage
  • Mentor junior-level engineers and participate in code reviews


Required Skills

  • 7-10 years of experience in data engineering and data management
  • 3-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark,
  • Presto, EMR)
  • Absolute fluency in SQL
  • Hands-on experience with AWS ecosystem
  • Exposure to modern development approaches (containerization, microservices, CI/CD)
  • Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL)
  • Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow,
  • Luigi, etc)


Desired Skills

  • Experience with Databricks/managed Spark
  • Experience with Snowflake
  • Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps)


Please contact Colm on ...@alldus.com for more information or hit apply!

by Jobble


Associated topics: data analytic, data engineer, data integrity, data manager, data management, data quality, data warehouse, erp, hbase, mongo database * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

Launch your career - Create your profile now!

Create your Profile

Loading some great jobs for you...