NeuraFlash

Data Engineer

• Design and lead data migration plans covering core Salesforce entities such as accounts, contacts, leads, opportunities, activities, cases, and custom objects.
• Develop scalable data migration frameworks that support phased, delta, and full-load approaches across Salesforce environments.
• Drive alignment of legacy data models to Salesforce architecture, considering business rules, relationships, and multi-org/multi-currency configurations.
• Define canonical data models and develop field-level mapping and transformation logic from source systems to Salesforce.
• Collaborate with MDM teams to establish golden record definitions and implement identity resolution strategies across systems.
• Implement governance controls, data stewardship policies, and compliance mechanisms (e.g., GDPR, CCPA) to ensure trusted and compliant data usage.
• Ensure data lineage and integrity across the CRM ecosystem by working closely with enterprise architects and data owners.
• Conduct comprehensive data profiling, identify duplicates, incomplete records, and inconsistent values across datasets.
• Lead deduplication efforts using tools such as Informatica Cloud Data Quality, DemandTools, or custom scripts.
• Design rules and processes for data cleansing, normalization, and enrichment to ensure completeness and accuracy of migrated and integrated data.
• Establish data quality KPIs and continuously monitor and report on data integrity across the Salesforce platform.
• Develop and execute ETL processes using tools such as Informatica (Cloud and MDM), DBAmp, Pentaho, Dataloader, or SQL-based frameworks.
• Manage iterative data loads into Salesforce sandboxes and production environments, validating against source system records and business rules.
• Deliver thorough documentation, test plans, and support materials to enable stakeholder adoption and long-term maintenance.
• Facilitate workshops with business stakeholders to define data requirements, risks, and success metrics.
• Work closely with Salesforce Solution Architects, Admins, Developers, RevOps, and QA teams to ensure data supports end-to-end business processes.
• Standardize data practices by contributing to internal playbooks, templates, accelerators, and knowledge sharing initiatives.

Salesforce Data Architect

Salesforce Developer

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.
• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

Salesforce Technical Architect, Data & AI

• Facilitate business process reviews to identify customer requirements
• Translate customer requirements into Salesforce design
• Configure Salesforce Field Service Cloud solutions
• Develop technical requirements and specifications
• Drive best practice UX design into solution delivery
• Manage all aspects of projects and customer communications
• Deliver customer end user training and documentation
• Oversee successful completion of assigned projects
• Lead vision and strategy discussions

Salesforce Solution Architect, Field Service

Backend Engineer

• Lead and own the technical solution design. This includes designing and understanding the complete Agentforce solution which includes topics, instructions, actions with corresponding automation/code, agent deployment methods, and supporting data structures.
• Deep dive into the limits and boundaries of Agentforce Agents, finding novel solutions to drive business outcomes.
• Collaborate with customers, Project Managers, Solution Architects, Developers and UX Designers to translate business needs into well-architected solutions
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment
• Follow and understand new Salesforce products and technical capabilities

NeuraFlash

Salesforce Data Architect

Salesforce Technical Architect, Data & AI

Salesforce Solution Architect, Field Service

Salesforce Architect

Salesforce Technical Architect, AI – Agentforce

Salesforce Technical Architect, AI, Agentforce

Salesforce Technical Architect, AI – Agentforce