• Develop, maintain, and improve data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets. • Integrate new data sources into the existing data ecosystem, helping expand the platform’s capabilities and improve business visibility. • Support financial reconciliation activities, P&L routines, and global closing processes by ensuring data consistency, accuracy, and traceability across different sources. • Process large volumes of structured and semi-structured data, optimizing transformations, storage formats, and query performance using Delta Lake and Lakehouse best practices. • Monitor, troubleshoot, and support existing pipelines, identifying issues, investigating discrepancies, and ensuring reliable daily and monthly processing. • Propose and implement better technical approaches to improve performance, scalability, maintainability, and data quality across the financial data ecosystem. • Work closely with existing data engineers, business stakeholders, finance teams, and technology teams to understand needs and deliver high-quality data solutions. • Support data governance, validation rules, auditability, documentation, and controls to ensure trustworthy and well-managed financial data. • Support initiatives involving AI models and advanced data capabilities, helping integrate AI-driven insights and automation into data workflows.

• Deliver the highest-quality, scalable, and AI-powered Salesforce solutions across the Salesforce, Data 360, and Agentforce platform. • Design and implement custom agentic and non-agentic solutions leveraging the breadth of the Salesforce and Data 360 programmatic capabilities such as Apex, JavaScript, Visualforce, Lightning Web Components, OmniStudio, and Business Rules Engine. • Design and build Data 360 solutions for the benefit of Generative AI, leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, and becoming proficient in RAG best practices. • Collaborate with Data 360, AI, Architecture, and Project teams to translate requirements into effective technical solutions. • Build scalable and secure data solutions on Data 360—DLOs, DMOs, identity resolution, calculated insights, and real-time activation patterns. • Design and build integrations between Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. • Develop strategies to solve complex technical problems utilizing the full suite of Data 360 capabilities. • Explore and implement emerging AI capabilities, including GPT and LLM-driven use cases powered by unified customer data. • Stay current with Salesforce releases, Agentforce enhancements, and platform best practices, and acquire/maintain relevant Salesforce certifications. • Be a NeuraFlash evangelist in the Salesforce Community and help cultivate a company culture of success and fun. • Travel up to 25% for customer projects and company events.

• Deliver the highest-quality, scalable, and AI-powered Salesforce solutions across the Salesforce, Data 360, and Agentforce platform. • Design and implement custom agentic and non-agentic solutions leveraging the breadth of the Salesforce and Data 360 programmatic capabilities such as Apex, JavaScript, Visualforce, Lightning Web Components, OmniStudio, and Business Rules Engine. • Design and build Data 360 solutions for the benefit of Generative AI, leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, and becoming proficient in RAG best practices. • Collaborate with Data 360, AI, Architecture, and Project teams to translate requirements into effective technical solutions. • Build scalable and secure data solutions on Data 360—DLOs, DMOs, identity resolution, calculated insights, and real-time activation patterns. • Design and build integrations between Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. • Develop strategies to solve complex technical problems utilizing the full suite of Data 360 capabilities. • Explore and implement emerging AI capabilities, including GPT and LLM-driven use cases powered by unified customer data. • Stay current with Salesforce releases, Agentforce enhancements, and platform best practices, and acquire/maintain relevant Salesforce certifications. • Be a NeuraFlash evangelist in the Salesforce Community and help cultivate a company culture of success and fun. • Travel up to 25% for customer projects and company events.

• Develop, maintain, and optimize stored procedures used in analytical processes and data integrations for BI systems. • Create high-performance SQL queries to support reports, KPIs, and management dashboards. • Implement and maintain ETL processes and data load routines. • Collaborate with BI and business teams to understand requirements and make data available for decision-making, analyzing scenarios and proposing technical solutions. • Analyze and resolve issues related to query and database process performance. • Ensure the quality, integrity, and consistency of data provided in analytical environments. • Support activities related to evolution, maintenance, incident resolution, and continuous improvement of database routines tied to the BI environment.