Join Google Cloud Consulting Professional Services and empower businesses on their cloud journey. You'll help organizations leverage Google's global network and cutting-edge infrastructure to transform and grow.

This role focuses on guiding customers through data ingestion, storage, processing, analysis, and visualization on the Google Cloud Platform. You will lead data migration and modernization projects, design scalable data processing systems, and resolve platform challenges.

Google Cloud is at the forefront of digital transformation, providing enterprise-grade solutions that enable businesses worldwide to solve critical problems and drive growth.

Collaborate with stakeholders to translate customer needs into effective solution architectures.

Lead high-velocity migrations and modernization efforts to Google Cloud Platform (GCP) in partnership with technical leads.

Design, build, and deploy data storage and processing infrastructure using cloud-native products.

Develop and implement robust data quality and governance procedures to ensure data accuracy.

Organize project requirements into clear objectives and create work breakdown structures for stakeholder management.

Bachelor's degree in Computer Science or equivalent practical experience is required.

Demonstrated experience in developing and troubleshooting data processing algorithms and software, including languages like Python, Java, Scala, and frameworks such as Spark and Hadoop.

Proven track record in building machine learning or data science solutions.

Experience with data warehouses, including technical architectures, ETL/ELT processes, and reporting tools, is preferred.

Familiarity with Big Data, information retrieval, data mining, or Machine Learning concepts is a plus.

Understanding of distributed data processing frameworks and modern GCP analytical and transactional data stores like BigQuery, CloudSQL, and AlloyDB is essential.