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Azure Databricks Architect - Fulltime

Acunor InfotechNJ🇺🇸United States

Why this role stands out

Elevate your career by designing cutting-edge, scalable AI and data solutions as a Lead Architect with Acunor Infotech, where you will enjoy full remote flexibility and the opportunity to mentor high-performing teams. This role is perfect for a strategic technical leader who thrives on building modern cloud architectures and wants to make a lasting impact on enterprise-level data innovation. Apply today to lead complex initiatives and advance your expertise in a collaborative, forward-thinking environment.

Quick overview

SeniorityMid Senior
Work modeRemote
LocationNJ, United States
Stakeholder ManagementSQLGitApache SparkETLComplianceDatabricksPythonTerraformUnityVaultAzureCI/CDAzure DevOpsAzure Data FactoryDelta Lake

Job description

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.

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