Head of Content & Data Pipeline Engineering

1001 John Wiley & Sons, Inc.

Hoboken (NJ)

Hybrid

USD 140,000 - 201,000

Full time

12 days ago

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Job summary

Wiley seeks a senior leader to own the Content & Data Pipeline platform, guiding ingestion, transformation, enrichment, and delivery to internal AI systems and external customers. You will set technical direction and stay hands-on with architecture and code while coaching a team of engineers who own day-to-day pipeline work.

You will partner with product, licensing, and vendors to define a coherent platform roadmap, expand to new sources and delivery surfaces, and ensure data quality,

Qualifications

  • Leadership experience with engineering teams and hands-on architecture.
  • Strong background in end-to-end data/content pipelines at scale.
  • Proficiency with AWS stack and production-grade data systems.
  • Experience in building observable, high-quality software delivery.
  • Ability to align stakeholders and translate needs into a roadmap.

Responsibilities

  • Own end-to-end architecture for content and data pipeline ingest, transform, enrich, and deliver.
  • Lead and coach a team of engineers; collaborate with product, licensing, and vendors.
  • Establish standards for reliability, data quality, testing, and CI/CD.
  • Deliver on a platform roadmap to cover new sources, surfaces, and capabilities.

Skills

Leadership
Software architecture
AWS depth
Python
SQL
CI/CD
Observability
Team coaching

Education

Bachelor's degree in CS or related

Tools

Airflow
Dagster
Kinesis
S3
ECS/EKS
RDS
DynamoDB
REST APIs

Job description

Wiley seeks a senior leader to own the Content & Data Pipeline platform, guiding ingestion, transformation, enrichment, and delivery to internal AI systems and external customers. You will set technical direction and stay hands-on with architecture and code while coaching a team of engineers who own day-to-day pipeline work.

You will partner with product, licensing, and vendors to define a coherent platform roadmap, expand to new sources and delivery surfaces, and ensure data quality,

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