Azure Sr. Data Architect

Cyclotron, Inc. • Dallas, TX

1d

About The Position

The Senior Data Architect is a leader and hands-on builder, combining the technical depth of an Azure Data Engineer with the solutioning expertise of a Solution Architect. This role will partner with clients to envision, design, and deliver enterprise-grade solutions leveraging the Microsoft technology stack.
You will lead requirements-gathering sessions, architect scalable technical solutions, and contribute as a developer to build and deliver working systems. You will also bring a high-level understanding of the Data & AI landscape, including Microsoft Fabric, Microsoft Purview, and Azure Databricks, enabling clients to modernize their operations through intelligent solutions.
This position will collaborate across Cyclotron’s sales, delivery, and project management organizations in service of our clients.
Key Attributes of the Role:
Balance visionary solution architecture with hands-on technical execution.
Bridge client business needs with technical feasibility using the Microsoft cloud stack.
Provide thought leadership on AI, cloud, and modern application development.
Mentor project teams while remaining capable of individual technical contribution.

Requirements

• 10+ years of application development and architecture experience, including 4-5+ years in data or analytics architecture on Azure in consulting or enterprise environments.
• Deep expertise in Microsoft Azure Data & AI services, including Azure Synapse/Fabric Data Warehouse, Azure Data Lake Storage, Azure Databricks and/or Microsoft Fabric, Azure Data Factory/Fabric Data Factory, and Azure SQL.
• Strong hands-on background with Python, SQL, and PySpark for data engineering; familiarity with .NET/C# and RESTful APIs for integration with application and API layers
• Experience leading requirements definition, data strategy, and technical design workshops, and translating business goals into data platform and analytics architectures and roadmaps.
• Familiarity with AI and Microsoft’s AI ecosystem (Azure OpenAI, Cognitive Services, Azure ML).
• Strong understanding of data engineering concepts, including Databricks, Synapse, and data governance (Purview, Unity Catalog).
• Prior experience leading cross-functional teams and driving end-to-end solution delivery.
• Current Microsoft certifications preferred, such as: Microsoft Certified: Azure Data Engineer Associate, Azure Enterprise Data Analyst Associate, Azure Solutions Architect Expert, Microsoft Fabric Analytics Engineer Associate, Azure AI Engineer Associate.
• Databricks and/or Fabric certifications (e.g., Databricks Data Engineer Professional, Lakehouse fundamentals, or Microsoft Fabric certifications) strongly preferred.

Nice To Haves

• Experience collaborating closely with application and integration teams using Azure API Management, Azure Functions, Logic Apps, and microservices patterns to expose data services.
• Knowledge of event-driven and message-based integration using Event Hubs, Service Bus, and Event Grid.
• Experience with data mesh concepts, domain-oriented data products, and federated governance models on Azure.
• Hands-on implementation of Purview solutions, including custom classifications, lineage, and governance workflows.
• Exposure to multi-cloud or hybrid data scenarios (e.g. Snowflake on Azure, on-prem SQL migration to Azure ) is advantageous.
• Semi-structured and unstructured data processing (JSON, Parquet, Avro).
• Bot Framework & Azure Bot Service for conversational AI.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) in Azure ML.
• Integration with Microsoft Copilot stack (Copilot Studio, Graph Connectors).
• Experience with AI solution governance and Responsible AI practices.
• Azure Monitor, Application Insights, and Log Analytics.
• Azure OpenAI Service (LLMs, copilots, RAG patterns).
• Azure Cognitive Services (Vision, Speech, Language, Search).
• Azure Cognitive Search with embeddings/vector search.
• Azure Machine Learning (AML) for deploying and managing models.

Responsibilities

• Lead requirements-gathering sessions
• Architect scalable technical solutions
• Contribute as a developer to build and deliver working systems
• Provide thought leadership on AI, cloud, and modern application development
• Mentor project teams while remaining capable of individual technical contribution

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed