

NeerInfo Solutions
Databricks Solutions Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Solutions Architect with a 12-month contract, offering a competitive pay rate. Key skills include Databricks Lakehouse Platform, Apache Spark, Python, and Azure. Certification as a Databricks Architect is required, along with extensive experience in data governance and migration.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Data Integration #Batch #Data Governance #Data Warehouse #Data Engineering #Data Vault #Data Modeling #Python #Jenkins #Databricks #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Ingestion #Data Quality #DevOps #GIT #Migration #Semantic Models #Spark (Apache Spark) #SQL (Structured Query Language) #Vault #Delta Lake #PySpark #Cloud #Azure DevOps #AI (Artificial Intelligence) #REST (Representational State Transfer) #Scala #Terraform #Data Mart #Apache Spark #REST API #Spark SQL #Data Pipeline #Monitoring #Azure #Security
Role description
Job title: Databricks Architect
The Databricks Certified Architect will be responsible for designing and implementing enterprise-scale solutions on the Databricks Lakehouse Platform, ensuring optimal performance and scalability.
Responsibilities
• Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
• Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
• Develop scalable data ingestion, transformation, and data quality frameworks.
• Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
• Build and optimize data warehouses, data marts, and analytical solutions.
• Implement data governance, security, lineage, and access controls using Unity Catalog.
• Develop and support AI/BI dashboards, semantic models, and self service analytics solutions.
• Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
• Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
• Collaborate with business users to translate requirements into scalable data and AI solutions.
• Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
• Lead cloud native implementations across Azure environments.
• Define architecture standards, best practices, and reusable design patterns.
• Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
• Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
• Build and maintain Genie Spaces for business self service analytics.
• Create semantic models, metrics, and trusted data assets for AI driven reporting.
• Develop natural language to SQL analytics solutions using Databricks Genie.
• Implement RAG solutions using enterprise data and Vector Search.
• Optimize AI/BI dashboards and conversational analytics experiences.
• Troubleshoot Spark performance, query optimization, and workload management.
• Automate data validation, monitoring, and governance controls.
• Support AI use cases using Mosaic AI model serving and inference endpoints.
Qualifications
12 YRS Exp
Required Skills
• Databricks Lakehouse Platform
• Apache Spark, PySpark, Spark SQL
• Python, SQL
• Delta Lake, Delta Live Tables, Lakeflow
• Unity Catalog
• Databricks AI/BI and Genie
• Mosaic AI, Vector Search, RAG
• Data Modeling (Dimensional & Data Vault)
• Structured Streaming
• Data Quality and Data Governance
• Azure
• Terraform, Git, Azure DevOps, Jenkins
• REST APIs and Data Integration
• Performance Tuning and Cost Optimization
Job title: Databricks Architect
The Databricks Certified Architect will be responsible for designing and implementing enterprise-scale solutions on the Databricks Lakehouse Platform, ensuring optimal performance and scalability.
Responsibilities
• Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
• Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
• Develop scalable data ingestion, transformation, and data quality frameworks.
• Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
• Build and optimize data warehouses, data marts, and analytical solutions.
• Implement data governance, security, lineage, and access controls using Unity Catalog.
• Develop and support AI/BI dashboards, semantic models, and self service analytics solutions.
• Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
• Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
• Collaborate with business users to translate requirements into scalable data and AI solutions.
• Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
• Lead cloud native implementations across Azure environments.
• Define architecture standards, best practices, and reusable design patterns.
• Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
• Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
• Build and maintain Genie Spaces for business self service analytics.
• Create semantic models, metrics, and trusted data assets for AI driven reporting.
• Develop natural language to SQL analytics solutions using Databricks Genie.
• Implement RAG solutions using enterprise data and Vector Search.
• Optimize AI/BI dashboards and conversational analytics experiences.
• Troubleshoot Spark performance, query optimization, and workload management.
• Automate data validation, monitoring, and governance controls.
• Support AI use cases using Mosaic AI model serving and inference endpoints.
Qualifications
12 YRS Exp
Required Skills
• Databricks Lakehouse Platform
• Apache Spark, PySpark, Spark SQL
• Python, SQL
• Delta Lake, Delta Live Tables, Lakeflow
• Unity Catalog
• Databricks AI/BI and Genie
• Mosaic AI, Vector Search, RAG
• Data Modeling (Dimensional & Data Vault)
• Structured Streaming
• Data Quality and Data Governance
• Azure
• Terraform, Git, Azure DevOps, Jenkins
• REST APIs and Data Integration
• Performance Tuning and Cost Optimization






