JD:
Technical/Functional Skills
1) Serverless: Cloud Run, Cloud Functions.
2) Compute: Kubernetes Engine, Compute Engine.
3) Networking and Security: VPC networks, Service Perimeters, IAM, PAM, VPC Service Controls.
4) Data and Analytics: BigQuery, Cloud SQL, Cloud Spanner, Firestore, Dataproc, Dataflow, Data Fusion, Cloud Composer.
5) API Management: Apigee, Cloud Endpoints.
6) Security Controls: Security Command Centre.
Roles & Responsibilities • Extensive, demonstrable experience as a Data Architect with a track record of working with data lake and data warehouse environments specifically in the cloud • Utilize GCP-based data platform architecture to meet enterprise data strategic goals • Excellent knowledge of Google Cloud Platform capabilities for driving transformation and solution delivery • Define the methodology used to integrate data from various internal and external sources • Support data analytics and business intelligence efforts by ensuring data accessibility and reliability through business intelligence tools. • Overseeing DevSecOps processes, establishing principles, and implementing robust methodologies across teams or entire programs. • Expert knowledge of modern data stack in particular Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow and DBT or similar technologies for designing data ingestion/reporting, transformations, optimisations and middleware interoperability • Demonstrated ability to assess needs of the relevant internal teams, creatively approach solutions, decide, and influence appropriate courses of action • Strong verbal and written communication skills with the ability to articulate complex technical ideas in easy-to-understand business terms
Technical/Functional Skills
1) Serverless: Cloud Run, Cloud Functions.
2) Compute: Kubernetes Engine, Compute Engine.
3) Networking and Security: VPC networks, Service Perimeters, IAM, PAM, VPC Service Controls.
4) Data and Analytics: BigQuery, Cloud SQL, Cloud Spanner, Firestore, Dataproc, Dataflow, Data Fusion, Cloud Composer.
5) API Management: Apigee, Cloud Endpoints.
6) Security Controls: Security Command Centre.
Roles & Responsibilities • Extensive, demonstrable experience as a Data Architect with a track record of working with data lake and data warehouse environments specifically in the cloud • Utilize GCP-based data platform architecture to meet enterprise data strategic goals • Excellent knowledge of Google Cloud Platform capabilities for driving transformation and solution delivery • Define the methodology used to integrate data from various internal and external sources • Support data analytics and business intelligence efforts by ensuring data accessibility and reliability through business intelligence tools. • Overseeing DevSecOps processes, establishing principles, and implementing robust methodologies across teams or entire programs. • Expert knowledge of modern data stack in particular Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow and DBT or similar technologies for designing data ingestion/reporting, transformations, optimisations and middleware interoperability • Demonstrated ability to assess needs of the relevant internal teams, creatively approach solutions, decide, and influence appropriate courses of action • Strong verbal and written communication skills with the ability to articulate complex technical ideas in easy-to-understand business terms