8+ years of experience in data engineering, including 4+ years of experience architecting data solutions on Azure. Ability to create a data modernization roadmap and architect solutions to meet business and IT needs. Deep expertise in Microsoft Azure with experience in services such as Azure Data Lake, Azure Databricks, Fabric, Azure Synapse, and Azure OpenAI. Proven ability to design and implement modern data architectures (data lakes, data warehouses, lake houses, data mesh, streaming pipelines). Proficiency in Python, PySpark, SQL, and data engineering frameworks. Knowledge of APIs, data integration patterns, security, compliance, and data governance frameworks. Experience optimizing data pipelines, queries, and architectures for performance and cost. Results oriented and a reputation for getting things done. Growth mindset and a deep desire to continue improving skills. Comfortable in fast paced environments. Confident presenting in front of senior level clients. Strong sense of responsibility for a project’s success. Thrive in a team environment. Strong communication skills.