22 hours ago
Pune, India +2 moreStaff+
Responsibilities
- Own and govern technical architecture for Salesforce Data Cloud (Data 360) implementations across programs.
- Design, build, and deploy enterprise-scale Data 360 solutions covering ingestion, unification, identity resolution, modeling, and activation.
- Define scalable batch, streaming, API, Zero Copy, data integration, and customer engagement tracking strategies.
- Integrate Data Cloud with Salesforce Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, Personalization, Agentforce, Apex, Flows, and external systems.
- Lead and guide teams across Data Cloud development, configuration, deployment, governance, and release practices.
- Conduct architectural reviews and technical workshops while defining reusable Data Cloud frameworks, patterns, and best practices.
- Ensure performance, scalability, security, compliance, and data governance requirements are met.
- Evaluate new Salesforce Data Cloud capabilities and roadmap enhancements for enterprise adoption.
- Mentor teams and provide technical guidance across multiple initiatives and workstreams.
Requirements
- At least 12 years of experience is required, including 10–12+ years of Salesforce experience and 1–2 years of Data 360 implementation experience.
- 15 years of full-time education is required.
- Strong hands-on enterprise experience with Salesforce Data Cloud (Data 360), including Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, and Activation.
- Experience designing data ingestion strategies using batch, streaming, APIs, and Zero Copy.
- Experience integrating Data Cloud with Salesforce core data models, Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud.
- Knowledge of Agentforce, Einstein AI, Zero Copy, Semantic Layer, Document AI, Salesforce platform limits, Data Cloud constraints, and scalable architecture design.
- Advanced SQL skills for analytics and Calculated Insights, plus experience with APIs, event data, JSON, cloud data platforms, and data integration pipelines.
- Experience with Salesforce metadata, objects, permissions, DevOps processes, CI/CD pipelines, and release governance.
- Strong leadership, communication, decision-making, stakeholder management, and team guidance skills.
- Salesforce Data Cloud Consultant and Salesforce Administrator certifications are mandatory.
- Agentforce Specialist, Salesforce AI Associate, Salesforce Platform Data Architect, Salesforce Marketing Cloud Consultant, Salesforce Service Cloud Consultant, and Salesforce Sales Cloud Consultant certifications are preferred.
- Experience with Agile or SAFe delivery methodologies and enterprise customers is preferred.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.