IBM Chief Engineer of Data Platform Performance in SAN JOSE, California

As Chief Engineer of Data Platform Performance, you will be responsible for ensuring that the platform is performing to support an enterprise-wide data lake and cognitive services on the cloud. You will work closely with both developers as well as internal IBM teams that use the platform. Success in this role will require the ability to motivate and collaborate successfully with cross-functional teams. Given the varied types of people you will work with, both technical and not, the ability to communicate effectively in person, in writing, over the phone, on a whiteboard, or on a video conference is essential.

Successful candidates should come from a strong data engineering background and

need to have significant experience with big data technologies as well as traditional data warehouses in reputed companies.

The ideal candidate will have significant experience with much of the following or equivalent:

  • 10+ years of Big Data experience in reputed companies

  • Leading teams of highly technical people and is comfortable doing so

  • Ability to communicate effectively in person, in writing, over the phone, on a whiteboard, or on a video conference is essential

  • Strategic thinker / architect with proven ability to build and manage scalable big data systems

  • Capability to architect highly scalable distributed systems using open source tools and big data technologies such as Hadoop, HBase, Spark, etc

  • Experience in cloud-based agile, devops experience with PaaS & IaaS

  • Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data

  • Evangelize solutions internally and train users on how to best optimize usage of platform

  • Provide periodic competitive analysis of rapidly changing data platform landscape

  • Navigate internal processes for data, support, and hardware resources

  • 10+ years of Big Data experience and the following:

  • Leading teams of highly technical people and is comfortable doing so

  • Ability to communicate effectively in person, in writing, over the phone, on a whiteboard, or on a video conference is essential

  • Capability to architect highly scalable distributed systems using open source tools and big data technologies such as Hadoop, HBase, Spark, etc

  • Experience in cloud-based agile, devops experience with PaaS & IaaS

  • Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data

  • Provide periodic competitive analysis of rapidly changing data platform landscape

  • Navigate internal processes for data, support, and hardware resources

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.