Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  
• 8 years of experience building data pipelines for internal/external business applications to generate data using Cloud based solutions.
  

Preferred qualifications:

• Master's degree in Computer Science or a related field.
• Experience integrating planning solutions across enterprise wide logistics, procurement, inventory, manufacturing systems.
• Experience designing, building Kinaxis based planning solutions.
  
• Excellent communication and system skills, with a demonstrable bias toward action.
  

About the job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Identify the broad problems worth solving and turn that big picture into projects.
• Own and drive large and complex, or multiple smaller efforts into production that have a significant impact at the product area level objectives, which are visible at the executive level.
• Deliver creative and innovative solutions to large-scale problems.
• Anticipate/prevent technical and organizational obstacles, as well as effectively reacting and addressing them after they arise.
• Establish consensus amongst divergent/opposing teams as a neutral arbiter and represent and articulate multiple divergent views/approaches.