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VP, Data Engineering at (Santa Clara, CA)

In this role, you will provide technology leadership, partner closely with company leadership, align roadmaps to business outcomes, and lead a diverse and distributed team of highly-skilled engineers. You’ll be a key member of the Engineering Leadership team, reporting to the CTO. This leader will ensure our data engineering strategy evolves as our business continues to shift and change. Let’s make a difference, together.

What You'll Do

  • Lead our data engineering teams as we continue to scale, and build a high-performance, world-class engineering organization
  • Own the technical vision for our data platform that supports the company's long-term strategic goals
  • Partner with company leadership to develop a technology strategy that enables our products and user experiences to be more data-driven and deeply personalized
  • Be an advocate for our users, and drive innovation in the consumer experience of home shoppers, renters and sellers
  • Provide passionate, innovative and inspiring leadership and support for our data and content engineering organization
  • Work closely with data scientists on data exploration and build out our machine learning platform
  • Connect an obsession with the consumer to data-driven decision-making and the need for a world-class cloud data platform
  • Recruit strong engineering talent that represents the diversity of our audience, with clear and consistent hiring strategies
  • Build and maintain a culture of humility, execution excellence, collaboration, mentorship, and open feedback

Who You Are

  • An analytical and thoughtful leader who leverages data and metrics to drive decision-making
  • Prior experience leading an engineering organization of 50 or more developers
  • Passionate about building and scaling engineering orgs that emphasize an inclusive culture, with teams that are both eager to learn and deeply curious
  • Extensive experience with architecture and design of large-scale data platforms, including batch, streaming and real-time data processing
  • A highly-collaborative partner, who enjoys working closely with product management, science and analytics teams to align the organization on joint goals
  • An engaging communicator, who makes complex and nuanced topics accessible to the larger organization through relevant examples and storytelling
  • Have demonstrated experience engaging and influencing senior executives and managing stakeholders
  • Have proven experience attracting, retaining, and growing top engineering talent

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