Salesforce Architect - Data Specialist

Role: Data & Marketing Cloud Architect
Story: Dr. Ausbüttel is undergoing a deep digitalization process, integrating both state-of-the-art and legacy sources to enhance their cross-channel and cross-cloud capabilities. The challenge was to harness their data effectively for personalized marketing, as their existing data infrastructure wasn’t providing the level of insight needed for precision targeting. They aimed to unlock the full potential of their data by integrating Salesforce Data Cloud with Marketing Cloud, seeking a more effective source of truth to enhance their marketing strategies.
Solution: Leveraging my broad expertise in data, databases, data warehouses, data science, and machine learning across various industries, I facilitated the integration between Salesforce Data Cloud and Marketing Cloud. Through close collaboration with Dr. Ausbüttel, we optimized the use of Salesforce’s built-in connector to streamline data flows and ensure that the most relevant, actionable insights were at the marketing team's fingertips. This strategic approach transformed their data into a dynamic asset, enabling targeted marketing campaigns that resonated deeply with customers and significantly improved engagement.
Technologies Used:

• Salesforce Data Cloud
• Salesforce Marketing Cloud
• Salesforce SAles Cloud
• Salesforce Service Cloud
• Legacy ERP
• Legacy CRM
• Website Personalisation
• Ingestion API

This project successfully improved Dr. Ausbüttel's ability to conduct personalized marketing, driving significant improvements in customer engagement and marketing effectiveness.

Technologies Used:

• Microsoft SQL Server
• Azure DataFactory
• Azure Synapse
• Databricks
• Python
• Spark
• REST API
• TypeScript

Description: Successfully migrated a legacy 19-year-old on-premises enterprise data warehouse to the Azure cloud platform. The project involved re-architecting the data warehouse to leverage modern cloud technologies, ensuring seamless data transfer, improved scalability, and enhanced performance.
Key aspects included:

• Utilizing Microsoft SQL Server for initial data extraction and transformation.
• Implementing Azure DataFactory for orchestrating data movement and transformation processes.
• Leveraging Azure Synapse for data integration, warehousing, and analytics.
• Employing Databricks for advanced data processing and machine learning tasks.
• Developing custom scripts in Python and Spark for data manipulation and analysis.
• Integrating various systems using REST API.
• Creating front-end interfaces and automation scripts with TypeScript.

The migration improved data processing efficiency, reduced maintenance costs, and enabled advanced analytics capabilities, significantly enhancing the overall data strategy of the enterprise.

Role: Technical Architect
Responsibilities:

• Architecture: Designed the overall architecture for the global rollout of Salesforce Marketing Cloud.
• Solution Design: Developed scalable solutions tailored to the unique needs of each country and franchise.
• Prototyping: Created and tested prototypes to validate design concepts and ensure feasibility.
• End-to-End Lifecycle: Managed the entire project lifecycle from initial requirements gathering to final deployment and post-implementation support.
• Technologies: Utilized TypeScript and JavaScript to develop custom solutions and integrations.

This project successfully standardized and enhanced marketing operations across 100 countries, leveraging a high degree of automation and custom-built web applications to ensure efficient deployment and maintenance.