
Data Cloud Consultant, Global Service Delivery
- Riyadh
- Permanent
- Full-time
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in planning and executing the governance of cloud adoption, IT transformation, and cloud migrations, with a focus on data-related projects and technical implementation.
- Experience with SQL databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
- Experience with data warehouse technologies (e.g., Snowflake, Databricks).
- Certification in GCP Professional Data Engineer or other relevant cloud certifications.
- Experience with a range of GCP data services (e.g., BigQuery, Dataflow, Dataproc, Cloud Composer).
- Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, Javascript.
- Understanding of the fundamentals of Enterprise IT, cloud technologies, and data engineering principles.
- Work with customer technical leads, client executives, and partners to manage and deliver data-focused implementations and migrations to Google Cloud Platform (GCP), acting as a trusted advisor.
- Translate complex customer data requirements into recommendations for appropriate solution architectures, consulting services, and implementation plans.
- Lead the program management of multi-functional Google Cloud Delivery Center projects, with a focus on data-related deliverables. Build and maintain strong relationships with key client stakeholders.
- Demonstrate expertise in data pipelines, data analytics, data visualization techniques, and data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines. Mentor junior consultants and participate in community contributions to improve team culture and operations.