Foster a positive team culture, through hiring, developing, and retaining a team with clear objectives, performance management, and career coaching.
Manage and grow a team of data consultants and engineers focused on enterprise-wide modern data platforms.
Recommend and document data migration and transformation paths required to successfully implement modern data platform solutions using best practices on Google Cloud.
Drive the development of best practices and assets to support initiatives to scale expertise to accelerate implementations and cloud adoption.
Oversee data portfolio delivery excellence and presales, exceptional customer satisfaction, and accurate estimation of customer outcomes.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
7 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience architecting, designing, and deploying distributed data processing systems with one or more open source technologies.
Experience managing partners (e.g., channel partners, systems integrators, third-party developers).
Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL, Apache).
Experience in people management, including managing engineers or architects, and delivering technical data projects.
Preferred qualifications
MBA or Master's degree in Computer Science or Engineering.
Experience in working with channel partners, systems integrators, and third party developers to deliver successful solutions.
Experience leading IT implementations, IT support, deployments, and business development activities.
Experience with relevant cloud technology, specifically in AI.
Experience in implementing large-scale cloud or software projects in corporate environments.
Experience programming in one or more languages (e.g. Java, Python, Go, or C++).
Bachelor’s degree or equivalent practical experience.
7 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience architecting, designing, and deploying distributed data processing systems with one or more open source technologies.
Experience managing partners (e.g., channel partners, systems integrators, third-party developers).
Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL, Apache).
Experience in people management, including managing engineers or architects, and delivering technical data projects.
