Databricks Platform Architect with GCP

Job Description 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 GCP Databricks Looker and Dataform ensuring scalability security and performance across all data driven applications Roles and Responsibilities • Design and implement modern data platform architecture for enterprise applications • Ensure seamless integration of Dataform Looker Databricks and GCP services • Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub • Optimize data pipelines for performance and cost efficiency • Develop semantic models and dashboards in Looker • Enable selfservice analytics and governance • Build and maintain data workflows using Dataform and Databricks • Implement best practices for data ingestion transformation and orchestration • Establish CICD pipelines for data workflows • Automate deployments and monitoring for data services • Define and enforce data governance security and compliance standards Required Skills: - • Cloud Expertise Strong experience with GCP Data Platform • Data Engineering Tools Proficiency in Databricks Dataform and SQL based 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 end to end data solutions for largescale enterprise environments Preferred Skills: - • Google Professional Data Engineer or Cloud Architect certification • Databricks Certified Data Engineer • Experience with modern data governance frameworks • Exposure to AIML and advanced analytics