Senior Data Architect Lead

2 days ago

New York, New York, United States Conde Nast Full time
About the Role

We are seeking a highly experienced and skilled Senior Data Architect Lead to join our global data engineering & data warehousing practice. As a key member of our team, you will drive the development of a customer 360 initiative across our revenue lines of business.

This is a senior leadership role that requires extensive experience in data engineering, big data management, media, and digital technology. You will spearhead the strategic planning, organizational management, and execution of our data engineering roadmap, collaborating with cross-functional teams to deliver a unified customer view and enable data-driven decision-making.

Main Responsibilities:

  • Lead and manage a diverse team of data engineers, fostering a culture of collaboration, innovation, and continuous growth
  • Build and optimize the organizational structure of the global data engineering practice, aligning it with core business functions and global growth objectives
  • Design and build future data assets focused on unifying our consumers' data across revenue streams to understand how best to segment consumers to tailor the right experience to deliver
  • Partner with business department heads to drive data-driven solutions and maximize revenue opportunities
  • Forge strong partnerships with cross-functional technology and core engineering teams to create integrated roadmaps and align on the strategic vision
  • Develop and execute a global data engineering roadmap, closely tied to product objectives and global engineering principles
  • Lead the revamp of our internal first-party global data collection strategy, ensuring compliance with data privacy regulations like GDPR

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Extensive experience in data engineering, big data management, and digital technology, with a focus on media and analytics
  • Proven track record of building and scaling teams, platforms, and products at an enterprise level
  • Experience in architecting data products using streaming, serverless, and microservices-based architectures and platforms
  • Proficiency in software development using Python, Scala, or a similar programming language, with experience in data structures, algorithms, and software design
  • Strong expertise in cloud platforms, preferably AWS, and data processing frameworks like Spark on the Databricks data platform
  • In-depth knowledge of data analysis, data governance, data privacy regulations, and data quality frameworks
  • Experience with ML infrastructure, feature engineering, and model serving
  • Excellent leadership and management skills, with the ability to mentor and develop high-performing teams

Salary: The expected base salary range for this position is from $250,000 - $300,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.

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