Full job description Job Description
A Manager Data Engineering Google Cloud Platform (GCP) is responsible for leading and managing a team of GCP experts and engineers to develop and deliver effective cloud solutions for clients. This position requires in-depth knowledge and expertise in GCP services, architecture, and best practices. The Manager will work closely with clients to understand their business objectives and develop strategies to leverage GCP to meet their needs. 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: Lead and manage a team of Data engineering experts and engineers to develop and deliver cloud solutions. 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. Drive innovation and continuous improvement in GCP offerings and services to provide industry-leading solutions. Collaborate with sales and business development teams to identify and pursue new business opportunities related to GCP. Ensure compliance with security, compliance, and governance requirements in GCP solutions. Develop and maintain strong relationships with clients, vendors, and internal stakeholders to promote the adoption and success of GCP solutions. What sets you apart: Experience in complex migrations from legacy data warehousing solutions or on-prem data lakes to GCP Experience in maneuvering resources in delivering tight projects Experience in building real-time ingestion and processing frameworks on GCP. Adaptability to learn new technologies and products as the job demands. Experience in implementing Data-governance solutions Knowledge in AI, ML and GEN-AI use cases Multi-cloud & hybrid cloud experience Qualifications Must have good implementationexperience onvariousGCP's Data Storage and Processing services such as Big Query, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL Must have programmatic experience with tools like Javascript, Python, Apache Spark Experience in building advance Big Query SQL and Big Query modelling is required Experience in orchestrating end-end data pipelines with tools like cloud composer, Dataform is highly desired. Experience in managing complex and reusable dataflow pipelines is highly desired Additional Information
Benefits of Working Here:
Flexible vacation policy; time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program Pay Range : $117,000 - $175,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. The actual range for this position may differ, depending on location and the specific skillset required for the work itself.
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at or you may call us at .
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.
