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# Azure Databricks Data Architect

- **Company:** Nmk Global Inc.
- **Location:** Collegeville, PA, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Microsoft Azure, Cyber Security, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Python (Programming Language), Standard Sql, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Google Cloud, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Deployment Automation, Data Management, Physical Data Models, Data Pipelines, Databricks
- **Published:** July 12, 2026
- **Apply:** https://www.careerjet.com/jobad/us9b740f7e37f86b85626d3293a53bab66

## About the Role

* Microsoft Azure
 * Azure Databricks
 * Delta Lake
 * Unity Catalog
 * Databricks Workflows
 * Databricks SQL
 * Apache Spark
 * PySpark
 * SQL
 * Python
 * Data Modeling
 * ETL / ELT Design
 * Batch Data Processing
 * Streaming Data Architectures
 * Data Warehousing
 * Information Security
 * Data Governance
 * Agile Methodology
 * DevOps
 * IoT Platforms

Preferred Skills:

 * Google Cloud Platform (GCP)
 * Amazon Web Services (AWS)
 * Digital Transformation Architecture
 * Manufacturing & Asset Management Solutions
 * Business Automation Platforms

Experience Required:

 * Strong experience in Azure Data Engineering and Data Architecture.
 * Hands-on expertise with Azure Databricks ecosystem.
 * Experience designing enterprise-scale data models.
 * Strong knowledge of ETL/ELT frameworks.
 * Experience with Delta Lake and Unity Catalog.
 * Expertise in batch and streaming architectures.
 * Experience implementing enterprise data warehouse solutions.
 * Familiarity with Agile and DevOps practices.
 * Knowledge of IoT data platforms is a plus.

## Description

We are looking for an experienced Azure Databricks Data Architect with strong expertise in designing enterprise-scale data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have deep knowledge of Azure services, Databricks, data modeling, ETL/ELT frameworks, and modern data warehousing concepts.
The candidate should possess strong architectural skills, understand emerging digital technologies, and be capable of designing scalable, secure, and high-performing data solutions.
Responsibilities:

 * Design end-to-end enterprise data architecture and lifecycle management.
 * Develop conceptual, logical, and physical data models.
 * Design scalable ETL/ELT pipelines for enterprise data platforms.
 * Build modern batch and streaming data architectures.
 * Architect data solutions using Azure Databricks and Delta Lake.
 * Implement Databricks Workflows for orchestration and automation.
 * Develop solutions using Apache Spark, PySpark, SQL, and Python.
 * Design secure data access strategies using Unity Catalog.
 * Work closely with platform vendors and solution teams to deliver enterprise architecture.
 * Ensure compliance with Information Security and Data Governance standards.
 * Support IoT data collection platforms and enterprise digital transformation initiatives.
 * Collaborate with Agile and DevOps teams for CI/CD and deployment automation.
 * Design enterprise data warehouse solutions and optimize data performance.
 * Stay updated on emerging digital technologies and cloud platforms.


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