3 days ago
Pune, India +2 moreStaff+
Responsibilities
- Own and govern the technical architecture for Salesforce Data Cloud (Data 360) implementations across programs.
- Design, build, and deploy enterprise-scale Data 360 solutions covering ingestion, unification, and activation.
- Define data ingestion, identity resolution, data modeling, and activation strategies aligned with business use cases.
- Lead and guide teams responsible for Data Cloud development, configuration, and deployment.
- Conduct technical and architectural design reviews and ensure adherence to Data Cloud standards and best practices.
- Integrate Data Cloud with Salesforce core data models, Marketing Cloud, Personalization, Agentforce, Apex, Flows, and external systems.
- Define reusable Data Cloud frameworks, patterns, and best practices for ingestion, unification, and activation.
- Provide architectural oversight, technical guidance, workshops, mentoring, and governance across multiple teams and initiatives.
- Ensure performance, scalability, security, compliance, data governance, and release best practices.
- Evaluate new Salesforce Data Cloud features and roadmap enhancements for enterprise adoption.
Requirements
- A minimum of 12 years of experience is required, including 10–12+ years of Salesforce experience.
- At least 1–2 years of experience in Data 360 implementation projects is required.
- Strong hands-on experience with Salesforce Data Cloud (Data 360) in enterprise implementations.
- Deep experience with Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, Activation, and data ingestion strategies.
- Experience with Agentforce, Einstein AI, Zero Copy, Semantic Layer, Document AI, Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud integrations.
- Advanced SQL skills for analytics and Calculated Insights, plus experience with APIs, JSON, event data, cloud data platforms, and data integration pipelines.
- Knowledge of Salesforce platform limits, Data Cloud constraints, metadata, objects, permissions, scalable architecture, and maintainable solutions.
- Experience with DevOps processes, CI/CD pipelines, release governance, enterprise customers, multiple teams, and workstreams.
- Strong leadership, communication, problem-solving, decision-making, and stakeholder-management skills.
- Mandatory Salesforce Data Cloud Consultant and Salesforce Administrator certifications.
- Preferred Agentforce Specialist, Salesforce AI Associate, Salesforce Platform Data Architect, Salesforce Marketing Cloud Consultant, Salesforce Service Cloud Consultant, and Salesforce Sales Cloud Consultant certifications.
- 15 years of full-time education is required.
Benefits
- The posting does not state benefits, compensation, or work-arrangement details.
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.