• Help with optimization, support, and deployment of cloud-based data systems • Build secure, scalable, and compliant database solutions using Azure SQL Server and other cloud-native technologies • Support the evolution of analytics lakehouse and its data sources • Ensure compliance with Equal Employment Opportunity laws, HIPAA, ERISA, and other regulations

• Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. • Configure and manage linked services and datasets within ADF. • Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability. • Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse). • Translate business requirements into technical solutions in close collaboration with the Product Owner and Architect. • Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts). • Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion. • Support occasional Power BI reporting and dashboarding needs. • Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts. • Take ownership of assigned tasks and actively contribute to continuous platform improvement.

• Design and own Salesforce data models across core clouds (Sales, Service, Financial Services, Consumer Goods) • Define object models, relationships, field strategy, and data lifecycle management • Ensure scalability, performance, and alignment with Salesforce best practices • Lead data governance, naming conventions, and standards • Architect and oversee data migrations from legacy systems (ERP, CRM, custom databases) • Define strategies for data synchronization, deduplication, and master data management • Establish and enforce data quality frameworks (validation, deduplication, enrichment) • Partner with stakeholders on data ownership, stewardship, and compliance • Support regulatory and security requirements (PII, GDPR, role-based access) • Design data structures optimized for Salesforce reporting, dashboards, and analytics • Enable downstream use cases for Einstein, AI, and advanced analytics • Support Data Cloud and Customer 360 initiatives where applicable

• Designing, developing, and maintaining data pipelines and services with a focus on simplicity, scalability, reliability, and performance. • Writing high-quality, well-tested code using Python and SQL. • Building and maintaining data pipelines (ETL/ELT) using tools like Airflow. • Implementing comprehensive automated testing to ensure the quality and reliability of our data products. • Collaborating with cross-functional teams to deliver impactful features. • Participating in the design and architecture of our evolving data platform. • Troubleshooting and resolving bugs and issues in a timely manner. • Championing best practices for code and data quality and testing. • Driving improvements in our development processes using Lean and Agile principles. • Managing and scaling data products, ensuring they are meeting the evolving needs of the business.