Director, Data Engineering - Business Data

Zillow, Inc.

$178K — $299K *
US-AnywhereRemote in United States
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Computer Science or related field (BS+).
  • 15+ years in quantitative data analysis and complex problem solving, with strong preference for experience in product and GTM teams.
  • 5+ years of leadership experience in Data Engineering.
  • Extensive experience in building data-intensive applications and sophisticated data pipelines.
  • Strong proficiency in Python, Java, or Scala, and expert-level SQL.
  • Experience with cloud services (AWS/Azure/GCP) and AI integration in Data Engineering.
  • Excellent communication skills to convey technical concepts to non-technical audiences.

Responsibilities

  • Lead and mentor a team of data engineers to enhance their skills and capabilities.
  • Develop the future of the data engineering practice using cutting edge technologies.
  • Design and implement scalable data pipelines for large data sets from diverse sources.
  • Drive enhancements in the Business Data platform using modern technologies like Spark, Airflow, and Databricks.
  • Work cross-functionally with Product, Marketing, and Sales to translate business needs into technical requirements.
  • Transform business use cases into evolving data models.

Benefits

  • Flexible remote working arrangement allows employment from any U.S. state.
  • Equity awards based on experience, performance, and location.
Full Job Description
About the role

As the Director of Data Engineering, you will lead a growing data engineering function within the Business Data organization. You will lead a team of engineers to build a modern data platform at the speed of the business, enabling the team to scale effectively across Industry Professional projects. This role sits at the intersection of Product, Engineering, and GTM, building the infrastructure and insights to support Zillow's next phase of growth.

Responsibilities
  • Lead and grow a team of data engineers, providing mentorship and leadership within the function.
  • Build the future of the data engineering practice to deliver value to internal and external stakeholders while leveraging cutting edge technologies to dramatically accelerate quality, scale, and depth of delivery.
  • Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources.
  • Drive the evolution of the Business Data platform by leveraging modern data technologies like Spark, Airflow, and Databricks.
  • Collaborate across organizational boundaries with Product, Marketing, and Sales to convert business needs into technical requirements.
  • Authoritatively translate business use cases into well-thought-out data models that evolve with the business.


This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $187,500.00 - $299,500.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $178,100.00 - $284,500.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

You are a seasoned engineering leader ready to bring your expertise to transform the real estate industry. You have an appreciation for the unique challenges of B2B product development and a passion for building high-quality, scalable data applications.

Qualifications:
  • A degree (BS+) in Computer Science or a related field.
  • 15+ years of work experience involving quantitative data analysis and complex problem solving. Experience working with product and GTM teams strongly preferred.
  • 5+ years leading Data Engineering teams.
  • Extensive experience building and maintaining data-intensive applications and sophisticated data pipelines.
  • Strong proficiency in programming languages such as Python, Java, or Scala, and expert-level SQL.
  • Proven experience in data modeling and working with cloud services (AWS/Azure/GCP) and leveraging AI to rethink Data Engineering delivery.
  • Excellent communication skills with the ability to explain technical concepts to non-technical audiences.


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