Innorev Technologies Inc
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 "unknown." It requires strong experience in Databricks architecture, cloud data architecture on Azure/AWS, and skills in ETL/ELT, PySpark, and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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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
#Databricks #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #AI (Artificial Intelligence) #Security #Data Engineering #Data Processing #Cloud #Clustering #Delta Lake #AWS (Amazon Web Services) #Scala #PySpark #Azure #Storage #Data Modeling #Data Architecture #ML (Machine Learning)
Role description
Design and lead enterprise-scale Databricks Lakehouse architectures using Delta Lake, Medallion Architecture, and Unity Catalog.
Architect scalable ETL/ELT and streaming pipelines using PySpark, Delta Live Tables, Structured Streaming, and CDC.
Define data modeling, governance, security, cataloging, and performance optimization strategies across Databricks environments.
Lead cloud data architecture on Azure/AWS, including Databricks workspace design, compute policies, storage, and networking.
Optimize Spark workloads, Delta tables, clustering, partitioning, and large-scale data processing for performance and cost.
Collaborate with data engineering, AI/ML, and business teams to deliver reliable enterprise data platforms.
Remote role requiring strong hands-on Databricks architecture experience and excellent communication skills.
Design and lead enterprise-scale Databricks Lakehouse architectures using Delta Lake, Medallion Architecture, and Unity Catalog.
Architect scalable ETL/ELT and streaming pipelines using PySpark, Delta Live Tables, Structured Streaming, and CDC.
Define data modeling, governance, security, cataloging, and performance optimization strategies across Databricks environments.
Lead cloud data architecture on Azure/AWS, including Databricks workspace design, compute policies, storage, and networking.
Optimize Spark workloads, Delta tables, clustering, partitioning, and large-scale data processing for performance and cost.
Collaborate with data engineering, AI/ML, and business teams to deliver reliable enterprise data platforms.
Remote role requiring strong hands-on Databricks architecture experience and excellent communication skills.
