Azure Databricks Architect
Job in
Buffalo, Erie County, New York, 14201, USA
Listed on 2026-11-01
Listing for:
Acunor Inc
Full Time
position Listed on 2026-11-01
Job specializations:
-
IT/Tech
Azure, Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Lead Architect Azure & Databricks Location
100% Remote
Working HoursEST
Employment TypeFull-Time
Work AuthorizationVisa-independent candidates only.
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.
- 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 .
- 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.
- Dev Ops and Automation: Azure Dev Ops, CI/CD pipelines, Git, and Infrastructure as Code. Terraform is preferred.
- 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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