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Databricks Solution architect

NexTurn, Inc.United States🇺🇸United StatesPosted 16 Sept 2026

Why This Role Stands Out

As a Databricks Solution Architect at NexTurn, Inc., you will design and lead enterprise-scale data and AI solutions for a reputable client, enjoying a competitive hourly rate and the flexibility of a hybrid work model. This role is perfect for experienced architects who thrive on innovation and want to make a significant impact in the technology landscape. Apply today to leverage your expertise in a dynamic and rewarding environment!

Quick Overview

Salary
$85/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
16 hours ago
SQLScalaAWSEncryptionMachine LearningApacheApache SparkAzureDatabricksGenerative AIGoogle CloudHivePythonTerraformUnity

Job Description

Job Title: Databricks Architect
Location: Irving TX ( Hybrid 3 days onsite 2 days Remote)
Rate: $85/hr on C2C
Visa: Any
Experience Level: 12+Years of experience
Client: Mckesson

Job Summary
We are looking for an experienced Databricks Solution Architect to design, architect, and lead the implementation of enterprise-scale data and AI solutions using the Databricks Data Intelligence Platform. The ideal candidate should have strong hands-on experience with Databricks, Lakehouse architecture, Apache Spark, Delta Lake, Unity Catalog, cloud platforms, data engineering, and modern data/AI architectures.
The candidate will work closely with business stakeholders, data engineers, developers, cloud teams, and enterprise architects to translate business requirements into scalable, secure, high-performance Databricks solutions.
Databricks' architecture guidance emphasizes Lakehouse architecture, governance, security, reliability, performance, cost optimization, and interoperability.
Key Responsibilities
  • Design and implement enterprise-grade Databricks Lakehouse architectures across development, testing, and production environments.
  • Define target-state architecture for data engineering, analytics, BI, machine learning, and AI workloads.
  • Architect solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, Workflows, and Lakehouse Federation.
  • Design and implement enterprise data governance, security, access control, lineage, and data-sharing strategies using Unity Catalog.
  • Lead migration of legacy data platforms, data warehouses, and Hive Metastore environments to Databricks/Unity Catalog.
  • Develop scalable data ingestion and processing architectures for batch and streaming workloads.
  • Provide technical leadership for performance tuning, scalability, reliability, and cost optimization of Databricks environments.
  • Design cloud-native solutions leveraging AWS, Azure, or Google Cloud Platform and integrate Databricks with cloud storage, networking, security, and identity services.
  • Establish Infrastructure as Code (IaC) and deployment strategies using Terraform and CI/CD. Databricks currently recommends Terraform for automating workspace, networking, storage, and Unity Catalog infrastructure.
  • Collaborate with DevOps teams to implement automated deployment pipelines and environment promotion.
  • Provide technical guidance to data engineers and development teams and conduct architecture/design reviews.
  • Work directly with customers and stakeholders to understand requirements and present architecture options and recommendations.
  • Create architecture diagrams, technical design documents, standards, and implementation roadmaps.
  • Troubleshoot complex production issues and provide architectural recommendations for resolution.
  • Stay current with emerging Databricks Data + AI capabilities, Generative AI, ML, and Lakehouse technologies.
Required Skills
  • 12+ years of experience in Data Engineering, Data Architecture, Cloud Architecture, or related fields.
  • 5+ years of strong Databricks experience, including architecture and implementation.
  • Strong hands-on experience with:
  • Databricks Lakehouse Platform
  • Apache Spark / PySpark
  • Delta Lake
  • Unity Catalog
  • Databricks SQL
  • Databricks Workflows / Jobs
  • Delta Live Tables / Lakeflow
  • Data governance and security
  • Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.
  • Experience designing enterprise-scale batch and real-time/streaming data pipelines.
  • Strong programming experience with Python and/or Scala.
  • Strong SQL development and performance-tuning skills.
Experience with at least one major cloud platform:
  • AWS
  • Microsoft Azure
  • Google Cloud Platform
  • Experience with cloud storage technologies such as Amazon S3, Azure Data Lake Storage, or Google Cloud Storage.
  • Experience with Terraform/IaC and CI/CD.
  • Strong understanding of networking, IAM, authentication, encryption, and cloud security.
  • Excellent communication, presentation, documentation, and stakeholder-management skills.

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