> Markdown version of [/jobs/ext/3401622-azure-databricks-platform-architect-solution-architect](https://www.wearedevelopers.com/jobs/ext/3401622-azure-databricks-platform-architect-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Azure Databricks Platform Architect / Solution Architect

- **Company:** Purplejack Technologies Llc
- **Location:** Raritan, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Architecture, Data Discovery, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Cloud Services, Migration Manager, Data Lakes, Data Lineage, Data Pipelines, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/5aad2782-202d-44b0-b082-aa833c85577b

## About the Role

* 15+ Years of experience
 * Azure Databricks
 * AWS Databricks
 * Lakehouse architecture
 * Medallion principles (Bronze, Silver, Gold)
 * Delta Lake
 * Unity Catalog
 * ML

## Description

* Architecture & Strategy
 * Define end-to-end migration strategy from Azure Databricks to AWS Databricks.
 * Design scalable Lakehouse architecture using Medallion principles (Bronze, Silver, Gold).
 * Develop Day 1 Business Continuity and Day 2 Modernization / AI Enablement migration roadmaps.
 * Perform application and dependency assessments across upstream and downstream systems.
 * Establish architecture patterns, standards, and best practices for cloud-native data platforms.
 * Migration & Modernization
 * Lead migration of data pipelines, notebooks, Delta tables, workflows, and data products.
 * Modernize legacy ETL/ELT frameworks using Databricks native capabilities.
 * Optimize performance, scalability, security, and operational efficiency.
 * Define migration approaches for CDC, batch, streaming, and real-time workloads.
 * Drive technology rationalization and tool consolidation initiatives.
 * AI-Ready Data Platform
 * Build AI-ready data foundations leveraging Delta Lake and Unity Catalog.
 * Design data architectures supporting ML, GenAI, RAG, feature stores, and advanced analytics.
 * Enable governed data access for data scientists and AI applications.
 * Define semantic models, metadata strategies, lineage, and data discovery frameworks.
 * Establish frameworks for AI governance and responsible AI adoption.
 * Data Governance & Security
 * Architect enterprise-wide governance using Unity Catalog.
 * Design data lineage, auditing, access controls, masking, and compliance standards.