• Architect end-to-end data platforms on Azure, ensuring scalability, resilience, and future-proof design • Lead design reviews and architectural decisions for large or complex client data projects • Contribute to defining data engineering best practices, coding standards, and reusable frameworks across the team • Mentor and coach junior engineers on advanced Azure services, performance tuning, and cloud-native patterns • Collaborate with Data Architects to define data models, schemas, and integration patterns • Drive cloud cost optimization strategies, ensuring clients use the right services at the right scale • Evaluate and recommend new Azure tools and technologies for inclusion in Emergent Software’s offerings • Lead client advisory on data platform modernization, migration strategies (e.g., on-prem to Azure), and data engineering maturity • Contribute to thought leadership, such as blog posts, webinars, or speaking engagements on Azure data topics • Design, develop, and maintain data pipelines using Azure Data Factory, Synapse Pipelines, or Azure Batch • Build and optimize data storage layers (Azure OneLake, Azure SQL, Synapse Analytics) for structured, semi-structured, and unstructured data • Implement data transformation logic (ETL/ELT) using Spark, Python, SQL, or Azure Data Factory • Ensure data quality, validation, and lineage using tools like Azure Purview and integrate with governance frameworks • Collaborate with BI teams to prepare curated data models and tables for reporting in Power BI or downstream systems • Manage data security, privacy, and compliance (RBAC, encryption, sensitive data masking) across Azure services • Monitor and optimize pipeline performance and cost efficiency using Azure Monitor and cost management tools • Develop and maintain CI/CD pipelines for data projects using Azure DevOps • Document data engineering solutions and adhere to Emergent Software’s delivery standards and Agile practices