

Compunnel Inc.
Databricks Platform Architect-- CDC5743971
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Platform Architect, offering a contract length of "unknown" and a pay rate of "unknown." Key skills required include GCP expertise, proficiency in Databricks, Looker, SQL, and experience in data architecture and governance. Preferred certifications include Google Professional Data Engineer and Databricks Certified Data Engineer.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Dataflow #Programming #Scala #BigQuery #Cloud #Compliance #Infrastructure as Code (IaC) #Monitoring #Spark (Apache Spark) #Security #Terraform #Databricks #Python #BI (Business Intelligence) #Data Architecture #Semantic Models #SQL (Structured Query Language) #Storage #Data Governance #Looker #Data Ingestion #Data Pipeline #GCP (Google Cloud Platform) #DevOps #Strategy #Deployment #"ETL (Extract #Transform #Load)" #Data Engineering
Role description
Experienced Data Platform Architect to design and manage enterprisegrade 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 datadriven applications
Key Responsibilities
Data Architecture Strategy
oDesign and implement modern data platform architecture for enterprise applications
oEnsure seamless integration of Dataform Looker Databricks and GCP services
Cloud Data Platform
oArchitect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
oOptimize data pipelines for performance and cost efficiency
Analytics BI
oDevelop semantic models and dashboards in Looker
oEnable selfservice analytics and governance
Data Engineering
oBuild and maintain data workflows using Dataform and Databricks
oImplement best practices for data ingestion transformation and orchestration
DevOps for Data
oEstablish CICD pipelines for data workflows
oAutomate deployments and monitoring for data services
Governance Security
oDefine and enforce data governance security and compliance standards
Required Skills Experience
• Cloud Expertise Strong experience with GCP 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
Experienced Data Platform Architect to design and manage enterprisegrade 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 datadriven applications
Key Responsibilities
Data Architecture Strategy
oDesign and implement modern data platform architecture for enterprise applications
oEnsure seamless integration of Dataform Looker Databricks and GCP services
Cloud Data Platform
oArchitect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
oOptimize data pipelines for performance and cost efficiency
Analytics BI
oDevelop semantic models and dashboards in Looker
oEnable selfservice analytics and governance
Data Engineering
oBuild and maintain data workflows using Dataform and Databricks
oImplement best practices for data ingestion transformation and orchestration
DevOps for Data
oEstablish CICD pipelines for data workflows
oAutomate deployments and monitoring for data services
Governance Security
oDefine and enforce data governance security and compliance standards
Required Skills Experience
• Cloud Expertise Strong experience with GCP 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






