Azure Databricks Architect - Fulltime

Lead Architect Azure & Databricks

Location: 100% Remote
Working Hours: EST
Employment Type: Full-Time
Work Authorization: Visa-independent candidates only.

Role Overview

Acunor is seeking an experienced Lead Architect with strong expertise in Microsoft Azure, Databricks, and modern Data & AI platforms. This role will design and deliver scalable, secure, high-performing enterprise data solutions while working closely with business stakeholders, engineering teams, and clients.

Key Responsibilities

• Architect end-to-end data and analytics solutions on Azure and Databricks.

• Design scalable platforms supporting batch, streaming, and real-time analytics.

• Lead solution design discussions, architecture reviews, and technical governance.

• Define data lake, data warehouse, lakehouse, and data mesh architectures.

• Translate business requirements into practical technical solutions.

• Establish platform security, governance, and compliance standards.

• Design data integration frameworks using Azure-native services and Databricks.

• Drive performance optimization, cloud cost management, and modernization initiatives.

• Provide technical leadership and mentor engineering teams.

• Support proposal development, effort estimation, and client presentations.

• Ensure alignment with enterprise architecture standards and best practices.

Required Technical Skills

• Azure: Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, Azure Event Hub, Azure Service Bus, Azure Functions, Azure Key Vault, Azure Monitor, and Microsoft Entra ID.

• Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Databricks Workflows, Structured Streaming, Medallion Architecture, cluster optimization, and performance tuning.

• Data Engineering: Python, PySpark, SQL, data modeling, ETL/ELT frameworks, data warehousing, and real-time data processing.

• DevOps and Automation: Azure DevOps, CI/CD pipelines, Git, and Infrastructure as Code. Terraform is preferred.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

• 10+ years of experience in Data Engineering, Cloud Architecture, or Solution Architecture.

• 5+ years of hands-on experience with Azure cloud services.

• 4+ years of hands-on experience with Databricks and Spark-based solutions.

• Demonstrated experience designing enterprise-scale data platforms.

• Experience working with large-scale structured and unstructured datasets.

• Strong stakeholder management and client-facing communication skills.