Description

• Design and architect scalable, secure, high-performing data platforms across Azure and hybrid environments
• Own architectural standards for data ingestion, modeling, transformation, storage, and access
• Lead cloud-first architecture efforts, including Azure Data Lakes, storage, and Microsoft Fabric connectivity
• Define and implement architectural patterns for batch, streaming, and API-based integrations
• Develop the long-term roadmap for lakehouse, warehouse, and semantic layers
• Embed metadata, lineage, and catalog capabilities into platform design
• Build foundational architecture to support enterprise reporting and BI platforms (analysts will run reports)
• Align data architecture with governance, security standards, and regulatory considerations
• Partner with data governance and engineering teams to operationalize architectural standards
• Support the ongoing migration from on-prem systems to cloud-based platforms

What You Bring

Required Qualifications

• 5+ years of experience in data architecture or senior data engineering roles
• Strong experience designing data platforms on Azure (beyond just data lakes)
• Hands-on experience with lakehouse and warehouse technologies (e.g., Azure, Databricks, Snowflake, Microsoft Fabric)
• Deep understanding of enterprise data integration patterns
• Strong systems-thinking and ability to design long-term architectural roadmaps

Preferred Qualifications

• Experience designing lakehouse architectures using Microsoft Fabric, Databricks, or Snowflake
• Experience supporting enterprise analytics platforms, including semantic models and BI tools (Power BI, Tableau, Looker)
• Familiarity with NERC and FERC environments (preferred, not required)
• Experience partnering with data governance teams, data stewards, and business stakeholders

Key Skills

Education

Any Gradute