обновлено 5 дней назад
Director, Data Engineering (Media)
165 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Engineering (Media): Designing and leading scalable data architectures and pipelines for a media and entertainment business with an accent on first-party, third-party, and zero-party data, data quality, and analytics enablement. Focus on building high-performance data lakes, warehouses, and real-time pipelines, scaling data engineering squads, and integrating cloud and big data technologies.
Location: 229 West 43rd Street, New York, New York, United States
Salary: USD 165,000–210,000 yearly, plus bonus and long-term incentive eligibility.
Company
is a media and entertainment business operating brands across political news, business news, golf, sports, and genre entertainment, supported by digital assets and platforms.
What you will do
- Lead data engineering squads, set objectives, support collaboration, and develop team members.
- Design, develop, and maintain scalable data architectures and pipelines across internal, third-party, and cloud-based sources.
- Ensure data accuracy, completeness, consistency, performance, monitoring, and documentation.
- Collaborate with data scientists and business teams to improve data models for business intelligence and data-driven decisions.
- Evaluate emerging technologies and contribute to strategic data initiatives, roadmaps, and execution.
- Support the Senior Director of Data Engineering in delivering the broader data strategy.
Requirements
- 8+ years of experience in data engineering.
- Experience with media-specific data platforms, content management systems, ad tech, and digital media analytics.
- Proficiency in Python, Java, or Scala for data processing.
- Experience with AWS, Google Cloud, Azure, and cloud data warehouses such as Redshift, Snowflake, or Databricks.
- Expertise in SQL/NoSQL databases and big data technologies including Hadoop, Spark, or Kafka.
- Experience designing high-performance data lakes, data warehouses, and real-time pipelines, managing data engineering teams, and collaborating cross-functionally.
Nice to have
- Familiarity with Tableau or Looker.
- Experience with machine learning and data science workflows.
- Familiarity with Nielsen, comScore, or similar media analytics platforms.
- Exposure to agile development practices and tools such as Jira and Confluence.
Culture & Benefits
- Work in a fast-paced, media-rich environment focused on data-driven innovation.
- Collaborate with cross-functional teams in a matrixed organization.
- Health insurance, retirement plans, and paid time off may be included.
- External candidates may be required to attend an in-person interview at a location before a hiring decision.
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