Azure Data Architect

Accountabilities

• Lead the design, implementation, and optimization of modern cloud data platforms.
• Support clients through complex transformation initiatives.
• Design and implement scalable, secure, and high-performance data architectures using Azure Databricks, Microsoft Fabric, Delta Lake, Unity Catalog, and OneLake.
• Lead end-to-end cloud migration projects, transitioning legacy data platforms and on-premises environments into Azure-native solutions.
• Develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks workflows, and Fabric Data Pipelines.
• Create real-time data processing solutions using technologies such as Event Hubs, Stream Analytics, and Databricks Structured Streaming.
• Create optimized data models, queries, and transformation processes using SQL, Python, PySpark, and Spark SQL.
• Establish data governance frameworks, security standards, compliance practices, and technical reference architectures.
• Configure and optimize Azure resources, including storage, compute environments, networking, and cloud services.
• Troubleshoot complex issues across the data ecosystem and provide reliable technical solutions.
• Act as a trusted advisor to clients by understanding business objectives, facilitating discovery sessions, and recommending effective data strategies.
• Present architecture proposals and technical recommendations to stakeholders, including executive audiences.
• Provide mentorship, documentation, and knowledge transfer to client teams and internal stakeholders.
• Manage multiple client engagements while maintaining delivery quality, timelines, and technical excellence.

Requirements

• Extensive experience in cloud data architecture, migration, and consulting, along with strong technical and communication skills.
• Deep expertise in Azure Databricks, including Unity Catalog, Delta Lake, cluster optimization, and workspace administration.
• Strong experience with Microsoft Fabric, including Data Factory, Data Warehouse, OneLake, and Power BI integrations.
• Proven experience leading multiple large-scale cloud migration projects involving enterprise data platforms.
• Advanced proficiency in PySpark, SQL, Python, and modern data processing frameworks.
• Hands-on experience with Azure services such as Data Lake Storage Gen2, Synapse Analytics, Data Factory, Event Hubs, and Key Vault.
• Strong understanding of data modeling concepts, including dimensional modeling, star schemas, data vault, and database design principles.
• Experience implementing CI/CD processes for data workloads using Azure DevOps, GitHub Actions, or similar tools.
• Prior client-facing consulting or solution architecture experience with the ability to engage business and technical stakeholders.
• Excellent communication, presentation, and workshop facilitation skills.
• Ability to manage multiple priorities, work independently, and drive complex projects to completion.
• Experience with Azure certifications such as DP-203 or AZ-305 is preferred.
• Databricks certifications, experience with data governance platforms, MLOps, Terraform, or Bicep are considered advantages.
• Industry experience in areas such as financial services, healthcare, retail, manufacturing, or similar sectors is a plus.

Benefits

• Competitive compensation package based on experience and qualifications.
• Opportunity to work on large-scale cloud transformation projects with leading technologies.
• Remote work flexibility within the United States.
• Exposure to diverse industries and complex enterprise environments.
• Opportunities for professional growth, certifications, and continuous learning.
• Career development opportunities within a global technology organization.
• Inclusive workplace culture that values diversity, creativity, and collaboration.