Azure Databricks Data Architect

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.

• 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.