Rapid Eagle Inc
DataBricks Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DataBricks Architect in San Jose, CA, with a contract length of over 6 months, offering a pay rate of $124,688.43 - $150,162.41 per year. Key skills required include Spark/PySpark, Python, SQL, and cloud expertise (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
682
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🗓️ - Date
December 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA 95110
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🧠 - Skills detailed
#Python #PySpark #SQL (Structured Query Language) #Data Science #Cloud #Databricks #AI (Artificial Intelligence) #ML (Machine Learning) #Delta Lake #Scala #Data Governance #Infrastructure as Code (IaC) #Data Modeling #Storage #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Data Engineering #Azure
Role description
DataBricks Architect
San Jose CA
Onsite
Skills :-
We are seeking a senior-level Databricks Architect to lead design and implementation of a cloud-scale data platform using Databricks. The candidate will own Lakehouse architecture (Delta Lake), design scalable ETL/ELT pipelines, manage Databricks clusters, ensure data governance, and integrate with cloud storage and enterprise systems. The role involves collaboration with data engineers, data scientists, and business stakeholders to deliver high-performance, secure, and scalable data solutions supporting analytics, reporting, and ML/AI workloads. Strong expertise in Spark/PySpark, Python/SQL, cloud (AWS/Azure/GCP), data modeling, and data governance is required. Experience with CI/CD and infrastructure as code is a plus.
Job Types: Full-time, Contract
Pay: $124,688.43 - $150,162.41 per year
Benefits:
Health insurance
Work Location: In person
DataBricks Architect
San Jose CA
Onsite
Skills :-
We are seeking a senior-level Databricks Architect to lead design and implementation of a cloud-scale data platform using Databricks. The candidate will own Lakehouse architecture (Delta Lake), design scalable ETL/ELT pipelines, manage Databricks clusters, ensure data governance, and integrate with cloud storage and enterprise systems. The role involves collaboration with data engineers, data scientists, and business stakeholders to deliver high-performance, secure, and scalable data solutions supporting analytics, reporting, and ML/AI workloads. Strong expertise in Spark/PySpark, Python/SQL, cloud (AWS/Azure/GCP), data modeling, and data governance is required. Experience with CI/CD and infrastructure as code is a plus.
Job Types: Full-time, Contract
Pay: $124,688.43 - $150,162.41 per year
Benefits:
Health insurance
Work Location: In person
