Salesforce Developer CRMA

Key Responsibilities Solution Delivery

Design and build end-to-end CRMA solutions including:

• Data ingestion and transformation (Dataflows / Recipes / connectors)
• Datasets & data models (including relationships and incremental loads)
• Semantic layer (SAQL, bindings, metric definitions, templates)
• Dashboards & lenses with best-practice UX and performance optimization
• Exposure to AI/ML-based predictive dashboards within Salesforce.
• Design and develop CRMA dashboards, lenses, and datasets to deliver actionable insights.
• Build and optimize dataflows, recipes, and bindings for complex business logic and KPIs.
• Translate business requirements into high-performing analytics visualizations aligned with UX and reporting standards.
• Integrate data from Salesforce objects and external sources (e.g., Snowflake, SQL DBs, S3, APIs) via connectors or middleware.
• Implement data preparation, cleansing, deduplication, and enrichment to ensure high-quality analytics outputs.
• Support data reconciliation and validation between source systems and CRMA datasets.

• Establish and enforce best practices for CRMA development, versioning, and deployment.
• Collaborate with architects, data engineers, and business analysts to align on governance, security, and access control.
• Conduct performance tuning, debugging, and optimization of existing CRMA assets.

• Work with business stakeholders to define KPIs, success metrics, and visualization requirements.
• Support workshops, demos, and training sessions to drive adoption of analytics solutions.
• Provide impact assessments and recommendations for current analytics requirements.

• 4+ years of hands‑on experience in Salesforce CRM Analytics (CRMA / Einstein Analytics / Tableau CRM).
• Strong expertise in dataflows, recipes, SAQL, bindings, and advanced JSON configurations.
• Experience integrating with Sales Cloud, Service Cloud, and external data systems (AWS, Snowflake, SQL, etc.).
• Proficiency in Salesforce core platform (Apex, SOQL, Lightning Components) and data modeling.
• Familiarity with Tableau, Power BI, or other BI tools is an advantage.
• Understanding of Salesforce metadata deployment and Dev Ops pipelines (e.g., Gearset, Copado).

• Salesforce Certified CRM Analytics and Discovery Consultant or equivalent certification.
• Exposure to AI/ML-based predictive dashboards within Salesforce.
• Experience working in large‑scale, multi‑cloud Salesforce environments (e.g., Sales, Service, Experience Cloud).
• Prior experience in telecom, manufacturing, or retail domains preferred.