3 days ago
Pune, India +2 moreStaff+
Responsibilities
- Own and govern technical architecture for Salesforce Data Cloud (Data 360) implementations across multiple programs.
- Design, build, and deploy enterprise-scale Data 360 solutions covering data ingestion, unification, identity resolution, modeling, segmentation, and activation.
- Integrate Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, Agentforce, Apex, Flows, and external systems.
- Define scalable ingestion, identity, activation, governance, performance, security, and compliance strategies.
- Lead and guide teams across Data Cloud development, configuration, deployment, release governance, and best-practice adoption.
- Conduct technical design reviews, facilitate solution workshops, identify platform constraints, and define reusable frameworks and patterns.
- Evaluate new Data Cloud capabilities and mentor teams on implementation standards and governance.
Requirements
- At least 12 years of professional experience is required, including 10–12+ years of Salesforce experience and 1–2 years of Salesforce Data 360 implementation experience.
- 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 batch, streaming, API, and Zero Copy data ingestion strategies and working with event data, JSON, APIs, and data integration pipelines.
- Experience integrating Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, and external systems.
- Knowledge of Agentforce, Einstein AI, Zero Copy, Semantic Layer, Document AI, Salesforce platform limits, Data Cloud constraints, metadata, objects, and permissions.
- Advanced SQL skills for analytics and Calculated Insights, plus experience with cloud data platforms and scalable solution development.
- Experience with Salesforce DevOps processes, CI/CD pipelines, release governance, enterprise customers, and multiple teams or workstreams.
- Strong leadership, communication, decision-making, problem-solving, 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.
- 15 years of full-time education is required.
Tech Stack
Categories
Data Engineering
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.