1 day 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 for ingestion, unification, and activation.
- Define 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 enforce Data Cloud standards and best practices.
- Integrate Data Cloud with Salesforce core data models, Marketing Cloud, Personalization, Agentforce, Apex, Flows, and external systems.
- Identify platform limitations and data constraints and design scalable, compliant mitigation approaches.
- Provide architectural oversight across multiple teams and initiatives.
- Facilitate technical workshops for solution design, identity strategy, and activation planning.
- Define reusable Data Cloud frameworks, patterns, and best practices.
- Ensure performance, scalability, security, and data governance requirements are met.
- Mentor teams on implementation standards, governance, and release practices.
- Evaluate new Salesforce Data Cloud features and roadmap enhancements for enterprise adoption.
Requirements
- At least 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 enterprise experience with Salesforce Data Cloud (Data 360).
- Deep experience with Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, and Activation.
- Experience designing batch, streaming, API, and Zero Copy data-ingestion strategies.
- Experience integrating Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud.
- Strong knowledge of Salesforce platform limits, Data Cloud constraints, and scalable architecture design.
- Advanced SQL skills for analytics and Calculated Insights, plus experience with JSON, APIs, event data, and data integration pipelines.
- Experience with Salesforce metadata, objects, permissions, DevOps processes, CI/CD pipelines, and release governance.
- Experience with Agentforce, Einstein AI, Zero Copy, Semantic Layer, and Document AI.
- Strong leadership, communication, problem-solving, decision-making, stakeholder-management, and team-guidance skills.
- Experience handling multiple teams and workstreams and working with enterprise customers.
- 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.
- Familiarity with Agile and SAFe delivery methodologies.
- 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.