Description

You will design and implement GCP-based data platform architectures to meet enterprise strategic goals.

Responsibilities

• Design data lake and data warehouse environments within cloud infrastructures.
• Define methodologies for integrating data from diverse internal and external sources.
• Oversee DevSecOps processes by establishing principles and implementing methodologies across programs.
• Support business intelligence and analytics by ensuring data accessibility and reliability.
• Assess internal team requirements to design and influence technical solutions.

Required Skills

• 10+ years of technical and functional experience.
• Bachelor of Computer Science degree.
• Expertise in Google Cloud Platform capabilities and modern data stacks.
• Serverless technologies including Cloud Run and Cloud Functions.
• Compute experience with Kubernetes Engine and Compute Engine.
• Networking and security proficiency in VPC networks, Service Perimeters, IAM, PAM, and VPC Service Controls.
• Data and analytics experience with BigQuery, Cloud SQL, Cloud Spanner, Firestore, Dataproc, Dataflow, Data Fusion, and Cloud Composer.
• API management using Apigee and Cloud Endpoints.
• Security controls including Security Command Center.
• Data engineering tools including Google Cloud Storage (GCS), Airflow, and DBT.

Key Skills

Education

BACHELOR OF COMPUTER SCIENCE