Platform Engineer / Architect with Google Cloud Platform

  • Dallas, TX
  • Posted 1 day ago | Updated 20 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Google Cloud
GCP
Architect
BigQuery
Dataproc
Dataflow
Data Fusion
Pub/Sub
Cloud Storage
Cloud Run
Terraform
ML
Machine Learning

Job Details

Role : Data Platform Architect with Google Cloud Platform

Location : Dallas, TX

Core Responsibilities

  • Establish data flow patterns across batch, streaming, and ML use cases
  • Create decision frameworks for Google Cloud Platform technology selection
  • Develop reference architectures for real-time analytics and ML model deployment
  • Implement automated architecture validation in CI/CD pipelines
  • Design GitOps workflows for infrastructure and application deployments
  • Create standardized deployment patterns for different workload types
  • Develop IAM role assignments based on workload type
  • Create internal knowledge bases and documentation repositories
  • Lead training programs for data engineers and analysts

Technical Skills

  • Google Cloud Platform Services: Expert in BigQuery, Dataproc, Dataflow, Data Fusion, Pub/Sub, Cloud Storage, Cloud Run
  • Infrastructure as Code: Advanced Terraform skills with module development
  • Containers & Orchestration: Deep experience with Docker, Kubernetes, and GKE
  • CI/CD: Proficient with Cloud Build and GitLab CI/CD pipelines
  • Data Security: Strong understanding of data governance, security, and compliance
  • Data Processing: Expert in data pipeline design using Apache Spark, Apache Beam
  • Machine Learning Ops: Working knowledge of Vertex AI, AI Platform, TensorFlow/PyTorch deployment
  • Streaming: Experience with Kafka and Pub/Sub architectures
  • API Design: RESTful API design with authentication and authorization patterns
  • Workflow Management: Experience with Astronomer/Airflow for orchestration
  • Data Transformation: DBT implementation experience
  • GitOps: Proficient with GitOps principles and tools (ArgoCD, Flux)

Soft Skills

  • Strategic thinking and architectural vision
  • Advanced communication and stakeholder management
  • Ability to balance technical excellence with business needs
  • Strong mentorship and knowledge sharing capabilities
  • Collaborative approach to architectural decisions

Certifications

  • Google Cloud Professional Cloud Architect (Required)
  • Google Cloud Professional Data Engineer (Required)
  • Google Cloud Professional Security Engineer (Recommended)
  • Kubernetes CKA/CKAD (Recommended)
  • Terraform Associate (Recommended)
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