Key Responsibilities

• Design and implement modern cloud-based data platforms using Snowflake, dbt, and Data Vault 2.0 methodologies
• Develop and maintain scalable data ingestion, transformation, and orchestration pipelines for enterprise data needs
• Create and optimize Data Vault models including Hubs, Links, Satellites, and Business Vault components
• Build reusable transformation frameworks and data models using dbt with adherence to engineering, testing, and documentation standards
• Collaborate with solution architects and business teams to translate functional requirements into technical data solutions
• Support data quality, lineage, governance, and performance optimization across the data ecosystem
• Participate in agile ceremonies including sprint planning, estimation, design reviews, and production support
• Troubleshoot and resolve data pipeline, platform, and integration issues throughout the SDLC
• Contribute to CI/CD automation, DevOps practices, and engineering best practices for data platform delivery
• Partner with cross-functional teams to enable analytics, AI, and reporting use cases using governed data assets
• Leverage Microsoft Fabric capabilities to support data integration, analytics, and reporting requirements

Requirements

• Strong experience designing and implementing Data Vault 2.0 architectures and data models
• Deep expertise with Snowflake data warehousing, performance tuning, and data engineering best practices
• Strong hands-on experience with dbt for data transformation, testing, documentation, and deployment
• Experience building data pipelines using modern cloud data platforms and ELT frameworks
• Proficiency with SQL and data engineering principles including data modeling, optimization, and orchestration
• Experience working in Agile delivery environments with direct responsibility for sprint execution
• Strong problem-solving, communication, and stakeholder collaboration skills
• Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse) preferred
• Experience with Azure cloud services and enterprise data modernization preferred
• Must be authorized to work in the US on H4EAD, GC EAD, or GC

Skills Required