GAC Solutions
Databricks Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect with a contract length of "unknown," offering a pay rate of "$X per hour." Key skills include Databricks, PySpark, and marketing data sources. Experience with Azure/AWS/GCP is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pennsylvania, United States
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Delta Lake #REST (Representational State Transfer) #Azure #Databricks #dbt (data build tool) #Google Analytics #Spark (Apache Spark) #Spark SQL #SQL (Structured Query Language) #Data Governance #REST API #MLflow #AI (Artificial Intelligence) #BI (Business Intelligence) #Marketo #ML (Machine Learning) #PySpark #Cloud #Data Modeling #AWS (Amazon Web Services) #Scala #Data Quality #GIT #Microsoft Power BI #Agile #Semantic Models #Python #"ETL (Extract #Transform #Load)" #Tableau
Role description
We are seeking an experienced Databricks Architect with hands-on expertise in Databricks Genie (AI/BI) to design and deliver scalable marketing data platforms and conversational analytics solutions. The role involves building Bronze, Silver, and Gold data products using the Databricks Lakehouse architecture, developing robust ETL/ELT pipelines with PySpark, Delta Lake, Delta Live Tables (DLT), Auto Loader, and Databricks Workflows, and implementing Unity Catalog for secure data governance.
The ideal candidate will configure Databricks Genie Agents, curate trusted business metrics and semantic models, and enable natural language analytics for marketing users. Experience with marketing data sources such as Salesforce, Adobe Analytics, Google Analytics, Marketo, and Google Ads, along with strong cloud (Azure/AWS/GCP), SQL, Python, and Spark skills, is essential. The role also includes performance optimization, production support, data quality, dashboard development, Agile collaboration, and stakeholder engagement.
Required Skills: Databricks, Databricks Genie (AI/BI), Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Auto Loader, Structured Streaming, PySpark, Spark SQL, Python, SQL, ETL/ELT, Data Modeling, Git, CI/CD, Azure/AWS/GCP.
Preferred Skills: Power BI, Tableau, dbt, MLflow, Lakehouse Architecture, REST APIs, AI/ML, Marketing Mix Modeling, Customer 360, CDP Platforms, Databricks Asset Bundles.
We are seeking an experienced Databricks Architect with hands-on expertise in Databricks Genie (AI/BI) to design and deliver scalable marketing data platforms and conversational analytics solutions. The role involves building Bronze, Silver, and Gold data products using the Databricks Lakehouse architecture, developing robust ETL/ELT pipelines with PySpark, Delta Lake, Delta Live Tables (DLT), Auto Loader, and Databricks Workflows, and implementing Unity Catalog for secure data governance.
The ideal candidate will configure Databricks Genie Agents, curate trusted business metrics and semantic models, and enable natural language analytics for marketing users. Experience with marketing data sources such as Salesforce, Adobe Analytics, Google Analytics, Marketo, and Google Ads, along with strong cloud (Azure/AWS/GCP), SQL, Python, and Spark skills, is essential. The role also includes performance optimization, production support, data quality, dashboard development, Agile collaboration, and stakeholder engagement.
Required Skills: Databricks, Databricks Genie (AI/BI), Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Auto Loader, Structured Streaming, PySpark, Spark SQL, Python, SQL, ETL/ELT, Data Modeling, Git, CI/CD, Azure/AWS/GCP.
Preferred Skills: Power BI, Tableau, dbt, MLflow, Lakehouse Architecture, REST APIs, AI/ML, Marketing Mix Modeling, Customer 360, CDP Platforms, Databricks Asset Bundles.
