3 days ago
Pune, India +2 moreSenior
Responsibilities
- Own end-to-end Salesforce Data 360 delivery, including batch, streaming, API, and Zero Copy ingestion; data modeling; identity unification; Data Transforms; Calculated Insights; segmentation; and activation.
- Design and govern scalable Data Cloud solutions, data models, DMOs, relationships, technical architectures, and solution reviews.
- Serve as the primary technical and delivery point of contact for Data 360 initiatives and provide estimates, delivery plans, and status updates.
- Guide teams through solution design, development, configuration, deployment, defect resolution, optimization, and adherence to performance, security, governance, and compliance standards.
- Partner with business, marketing, analytics, and IT stakeholders to translate requirements into technical designs and delivery roadmaps.
- Drive UAT, go-live readiness, and post-production optimization for enterprise customer implementations.
- Support adoption of Agentforce, Einstein AI, Zero Copy, Semantic Layer, Document AI, and other emerging Data Cloud capabilities.
Requirements
- At least 7.5 years of experience is required, with the posting also citing 8–10 years of Salesforce experience.
- Strong hands-on experience with Salesforce Data Cloud/Data 360 in enterprise implementations, including 1–2 years on Data 360 implementation projects.
- Advanced knowledge of Data Streams, DMOs, Identity Resolution, Data Transforms, Calculated Insights, Segmentation, Activation, data ingestion strategies, and scalable solution design.
- Advanced SQL skills and experience with APIs, JSON, event data, cloud data platforms, and data integration pipelines.
- Experience integrating Data Cloud with Marketing Cloud, Sales Cloud, Service Cloud, Salesforce Personalization, Marketing Cloud Journeys, Contact Builder, and activation flows is preferred or desirable.
- Basic understanding of Salesforce metadata, objects, and permissions, plus experience working with enterprise customers and Agile teams.
- Demonstrated technical team leadership, stakeholder communication, decision-making, problem-solving, and ability to balance hands-on work with team leadership.
- Fifteen years of full-time education is required.
- Mandatory certifications: Salesforce Data Cloud Consultant and Salesforce Administrator.
- Preferred certifications: Agentforce Specialist, Salesforce AI Associate, and Salesforce Platform Data Architect.
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.