As a qualified candidate for the role, you will be responsible for the following:
**Role Overview:**
You will be interacting with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Additionally, you will engage with technical leads and partners to lead high-velocity migration and modernization to Google Cloud Platform (GCP). Your role will involve assisting Google Cloud customers with current infrastructure assessment, designing and architecting goal infrastructure, developing a migration plan, and delivering technical workshops to educate them on GCP. Moreover, you will participate in technical and design discussions with technical teams to expedite the adoption process and ensure best practices during implementation. Lastly, you will be involved in developing and implementing data quality and governance procedures to ensure the accuracy and reliability of data. **Key Responsibilities:**
Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. - Engage with technical leads and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). - Assist Google Cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. - Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. - Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. **Qualifications Required:**
Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. - 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining, and Hadoop. - Experience in building multi-tier, high availability applications with contemporary technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. - Experience in GCP. Please note that the Preferred qualifications and other additional details of the company were not provided in the job description. As a qualified candidate for the role, you will be responsible for the following:
**Role Overview:**
You will be interacting with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Additionally, you will engage with technical leads and partners to lead high-velocity migration and modernization to Google Cloud Platform (GCP). Your role will involve assisting Google Cloud customers with current infrastructure assessment, designing and architecting goal infrastructure, developing a migration plan, and delivering technical workshops to educate them on GCP. Moreover, you will participate in technical and design discussions with technical teams to expedite the adoption process and ensure best practices during implementation. Lastly, you will be involved in developing and implementing data quality and governance procedures to ensure the accuracy and reliability of data. **Key Responsibilities:**
Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. - Engage with technical leads and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). - Assist Google Cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. - Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. - Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. **Qualifications Required:**
Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. - 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining, and Hadoop. - Experience in building multi-tier, high availability applications with contemporary technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. - Experience in GCP. Please note that the Preferred qualifications and other additional details of the company were not provided in the job description.
