Engineering Manager - Consumer Data Engineering


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Job Summary

Job Type


Years of Experience
At least 5 years

Tech Stacks
Core Data

Job Description

The Data Engineering group, which is part of the Consumer Data Science organization, provides core datasets and tooling, which has driven significant growth in our organization. The technologies we work on include Hadoop, Scalding, DataFlow, Summingbird, Spark, Presto, Looker, BigQuery and many others. Several of these technologies were originally developed at Twitter and we actively make open source contributions for many others. We operate at a substantial scale, with multiple Hadoop clusters of 10k+ nodes each, hundreds of Petabytes of data, trillions of log messages arriving daily, and tens of thousands of jobs executed each day. We are making investments around Privacy and data adoption, embracing a hybrid cloud strategy and various data engineering initiatives. We are looking for a manager to help us execute on long-term bets around data engineering initiatives.

Who You Are

You will lead a team of talented Data Engineers and will be looked upon to set team roadmaps, present to executives, drive the career development of your teammates, and influence all facets of the company’s data engineering strategies. As part of our company's data science leadership, you will also be responsible for improving the culture of our organization, attracting extraordinary data science and engineering talent, and elevating the role of data engineering in the company.

You have previous experience leading high-performing teams working at scale. You will also have a passion for open source software. You will enjoy pursuing novel, ambiguous problems, collaborating with a variety of diverse partners, and will bring a strong learning orientation

Ideally, you have experience with

As an engineering manager, you will lead the careers of extraordinary software developers. You’ll work with internal customers across engineering at Twitter.
  • Leading data engineering teams within Twitter’s Data Science organization
  • Developing and delivering high-impact, forward-looking roadmaps for your teams
  • Communicating fearlessly to build trust with diverse stakeholders
  • Contribute to a culture of technical and operational excellence
  • Helping solve cross-team problems at scale
  • Delighting internal customers
  • Growing the skills and careers of a team of engineers

  • 5+ years of industry experience
  • Bachelor's degree or equivalent experience in computer science, engineering, or another technical discipline (MS/PhD is a plus)
  • Comfortable managing multiple technically complex projects in parallel
  • Robust project management skills, including work estimation, prioritization, planning, tracking, and retrospectives
  • Excellent people manager with a record of recruiting, managing, and retaining talent
  • Empathetic, self-aware, and learning-oriented leadership style
  • High-judgement, data-driven decision-maker
  • Strong communication skills
Preferred Qualifications

  • Previous management experience in a high-performing, large-scale technology company
  • Experience developing teams that work on large scale data infrastructure.
  • Experience in data warehouse technologies, data modeling, and ETL development.
  • Experience in any programming language like Java, Scala or Python.
  • Experience with big data technologies like Hadoop, Spark, Hive, Presto, etc.
  • Experience working on both real-time and batch processing data pipelines.
  • Passion for privacy and security


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