Azure Databricks Architect
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026.
Job Summary
We are looking for an experienced Azure Fabric Architect to design and deliver scalable, secure, and high-performing modern data platforms using Microsoft Fabric and Azure Data Services. The role will be responsible for defining end-to-end data architecture across OneLake, Lakehouse, Data Warehouse, Data Factory, Notebooks, Real-Time Intelligence, and Power BI, while establishing effective data engineering, integration, security, governance, and performance optimization patterns.
The architect will work closely with business stakeholders, data engineering teams, BI teams, cloud architects, and application teams to translate business requirements into robust technical solutions. The candidate should bring strong hands-on architecture experience and be capable of guiding engineering teams through solution design and implementation.
Key Responsibilities
Design and implement end-to-end Microsoft Fabric architectures supporting enterprise analytics, data engineering, reporting, and data science workloads.Architect solutions using OneLake, Fabric Lakehouse, Fabric Warehouse, Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, Spark, and Power BI.Define scalable Lakehouse and Medallion Architecture patterns for ingestion, transformation, storage, consumption, and analytics.Design batch and real-time data ingestion pipelines integrating data from databases, APIs, SaaS applications, files, cloud platforms, and enterprise applications.Develop architecture patterns for structured, semi-structured, and unstructured data across enterprise data platforms.Define data modeling approaches including dimensional modeling, star/snowflake schemas, Lakehouse models, and semantic models.Design and optimize Power BI semantic models, Direct Lake solutions, and enterprise reporting architectures.Establish security architecture using Microsoft Entra ID, RBAC, workspace permissions, row-level security, object-level security, and data access controls.Implement data governance, metadata management, lineage, data quality, and cataloging approaches using Microsoft Purview and Fabric capabilities.Define CI/CD, Git integration, deployment pipelines, workspace strategy, and environment management for Fabric solutions.Perform architecture reviews, technical design reviews, capacity planning, performance optimization, and troubleshooting.Support migration and modernization of solutions from Azure Synapse Analytics, Azure Data Factory, ADLS, Databricks, SQL-based platforms, and legacy data warehouses into Microsoft Fabric.Provide technical guidance and mentoring to data engineers, BI developers, and development teams throughout implementation.
Skill Requirements
Strong hands-on experience in Microsoft Fabric architecture and implementation.Deep understanding of OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, Spark, and Fabric Pipelines.Strong knowledge of Azure Data Lake Storage Gen2, Azure SQL, Azure Data Factory, Azure Synapse Analytics, Key Vault, and Microsoft Entra ID.Strong SQL, PySpark/Spark, data engineering, ETL/ELT, and data integration expertise.Strong understanding of Delta Lake, Lakehouse Architecture, Medallion Architecture, and enterprise data platform design.Experience with Power BI, Direct Lake, semantic models, DAX, data modeling, and enterprise BI architectures.Knowledge of Microsoft Purview, data governance, lineage, security, privacy, and access-control frameworks.Experience designing CI/CD and DevOps processes using Azure DevOps or Git-based development.Strong understanding of performance optimization, Fabric capacity management, scalability, reliability, and cost optimization.Strong communication and stakeholder-management skills with the ability to convert business requirements into technical architecture.