Azure Data & Development Architect

Role Summary

We are hiring an experienced technical leader to design, build, and operationalize end‑to‑end data solutions on Microsoft Azure while also delivering hands‑on development and automation across the Microsoft Power Platform and scripting ecosystems. This role blends cloud data architecture, data engineering, application development, and automation to enable real‑time analytics and reduce manual effort across multiple service lines.

Key Responsibilities

• Design and deliver Azure data architecture: Lead the design and deployment of scalable, secure, and cost‑efficient data pipelines and analytics platforms on Azure (Data Factory, Synapse, Databricks, Event Hubs, Stream Analytics, Blob/ADLS).
• Build data engineering solutions: Implement ETL/ELT pipelines, data models, and SQL‑based workflows to support operational systems and strategic analytics.
• Power Platform development: Architect and develop Power Apps, Power Automate flows, and Power BI integrations to streamline business processes and surface analytics.
• Automation and integration: Create robust PowerShell solutions and API integrations for cloud orchestration, administrative automation, and system-to-system connectivity.
• Application development: Develop Python applications for web scraping, data ingestion, data science prototypes, and custom business tools.
• Process optimization: Automate repetitive tasks using VBA and Python to reduce manual effort and improve accuracy.
• Governance and best practices: Define and enforce data governance, security, monitoring, and CI/CD practices for data and automation pipelines.
• Cross‑functional leadership: Collaborate with service line leaders, data engineers, analysts, and IT operations to translate business needs into technical solutions and mentor engineering teams.
• Operational excellence: Establish observability, alerting, and runbooks for production data systems and automation workflows.

Required Qualifications

• Experience: 5+ years in data engineering, cloud architecture, or software development with at least 3 years focused on Microsoft Azure data services.
• Cloud skills: Hands‑on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS/Blob Storage, and Azure networking/security patterns.
• Data engineering: Strong SQL expertise and experience designing ETL/ELT pipelines, data modeling, and performance tuning.
• Power Platform: Proven experience building Power Apps, Power Automate flows, and integrating Power Platform with Azure services.
• Scripting and automation: Advanced PowerShell skills for automation and API integration; experience with CI/CD for infrastructure and code.
• Programming: Proficient in Python for application development, data processing, and automation.
• Process automation: Experience using VBA or Python to automate business workflows and reporting.
• Soft skills: Strong communication, stakeholder management, and ability to lead technical design discussions and mentor engineers.

Preferred Qualifications

• Azure certifications such as Azure Solutions Architect, Azure Data Engineer, or Power Platform Developer.
• Familiarity with Databricks, Spark, or other big‑data processing frameworks.
• Knowledge of data governance frameworks, metadata management, and data catalog tools.
• Knowledge of the healthcare industry/data.

Tools and Technologies

• Cloud: Azure Data Factory, Azure Synapse, Azure Databricks, Event Hubs, ADLS/Blob Storage, Azure Functions.
• Power Platform: Power Apps, Power Automate, Power BI.
• Languages: SQL, Python, PowerShell, VBA.
• DevOps: Git, Azure DevOps or GitHub Actions, CI/CD pipelines.
• Monitoring: Azure Monitor, Log Analytics, Application Insights.