GCP Data Engineer Architect/Senior Architect

About the job
Company Description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
Job Description
Architect Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for clients. This position requires in-depth knowledge and expertise in GCP services, architecture, and best practices. They will collaborate with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions. He will also be responsible for driving innovation and staying up-to-date with the latest GCP technologies and trends to provide industry-leading solutions.
Your Impact:

Collaborate with clients to understand their business requirements and design GCP architecture to meet their needs.
Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization.
Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.
Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP.
Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.
Qualifications

Must have good implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL
Must have programmatic experience with tools like Javascript, Python, Apache Spark.
What sets you apart:

Experience in complex migrations from legacy data warehousing solutions or on-prem datalakes to GCP
Experience in building real-time ingestion and processing frameworks on GCP.
Adaptability to learn new technologies and products as the job demands.
Multi-cloud & hybrid cloud experience
Any cloud certification