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What this posting asks for

Level: Manager — The title says "Manager".

Main responsibilities

• Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.
• Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.
• Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models to ingest, process, and serve commercial…
• Establish and enforce best practices for data quality, governance, security, and performance optimization within the data ecosystem.
• Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data so…
• Foster a culture of engineering excellence, innovation, and continuous improvement within the team.
• BS/MS/PhD in Computer Science or a related field.
• 7+ years of experience in data engineering, software engineering, or a related role, with a focus on large-scale data systems.
• Proven experience (2+ years) in managing and leading engineering teams, including hiring, coaching, and performance management.
• Demonstrated technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines, including setting technical dir…

Competencies an interviewer will look for

• Technical skill Core
  In the posting: “Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.” · “Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data so…” · “Foster a culture of engineering excellence, innovation, and continuous improvement within the team.”
  Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
• Ownership and accountability Core
  In the posting: “Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.” · “The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.” · “The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and te…”
  Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
• Leadership and mentoring Core
  In the posting: “Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.” · “Proven experience (2+ years) in managing and leading engineering teams, including hiring, coaching, and performance management.” · “Demonstrated technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines, including setting technical dir…”
  Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
• Planning and organisation Core
  In the posting: “This role follows a hybrid work schedule and reports to Sr.” · “Experience working in a fast-paced, product-driven environment.” · “Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program,…”
  Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
• Data and analysis Core
  In the posting: “Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.” · “Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.” · “Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models to ingest, process, and serve commercial…”
  Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
• Teamwork and collaboration Core
  In the posting: “Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data so…” · “Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.”
  Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
• Attention to detail and quality Core
  In the posting: “Establish and enforce best practices for data quality, governance, security, and performance optimization within the data ecosystem.” · “Knowledge of data governance, data quality frameworks, and data security best practices.”
  Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
• Communication Supporting
  In the posting: “Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.”
  Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.

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