Google Cloud Platform Databricks Architect

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Role: Google Cloud Platform Databricks Architect

Location: Davidson, NC Onsite

Duration: Long Term

"BRIEF POSITION SUMMARY

Experienced Data Platform Architect to design and manage enterprise grade data solutions This role will focus on building and optimizing data platforms leveraging Google Cloud Platform Google Cloud Platform Databricks Looker and Data form ensuring scalability security and performance across all data driven applications

Key Responsibilities

• Data Architecture Strategy
• Design and implement modern data platform architecture for enterprise applications
• Ensure seamless integration of Dataform Looker Databricks and Google Cloud Platform services
  
  

Cloud Data Platform

• Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
• Optimize data pipelines for performance and cost efficiency
  
  

Analytics BI

• Develop semantic models and dashboards in Looker
• Enable selfservice analytics and governance
  
  

Data Engineering

• Build and maintain data workflows using Dataform and Databricks
• Implement best practices for data ingestion transformation and orchestration
  
  

DevOps for Data

• Establish CICD pipelines for data workflows
• Automate deployments and monitoring for data services
  
  

Governance Security

• Define and enforce data governance security and compliance standards
  
  

Required Skills Experience

• Cloud Expertise Strong experience with Google Cloud Platform Data Platform
• Data Engineering Tools Proficiency in Databricks Dataform and SQLbased transformations
• BI Tools Advanced knowledge of Looker
• Programming Python SQL Spark
• DevOps Familiarity with CICD tools and Infrastructure as Code Terraform
• Architecture Ability to design endtoend data solutions for largescale enterprise environments
  
  

Preferred Qualifications

• Google Professional Data Engineer or Cloud Architect certification
• Databricks Certified Data Engineer
• Experience with modern data governance frameworks
• Exposure to AIML and advanced analytics
  
  

Soft Skills

• Strong communication and collaboration skills
• Ability to work in an agile environment and manage multiple priorities
• Thought leadership in modern data architecture principles"