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
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💰 - Day rate
Unknown
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🗓️ - Date
August 19, 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
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