3 days ago
Pune, India +2 moreSenior
Responsibilities
- Lead end-to-end delivery of Salesforce Data Cloud (Data 360) implementations.
- Own solution design reviews and ensure alignment with enterprise data architecture.
- Act as the escalation point for complex data, identity, and performance issues.
- Review Data Streams, Data Models, Transforms, Calculated Insights, and Segments built by the team.
- Guide teams on data modeling, DMOs, relationship design, scalability, performance, and data governance.
- Conduct technical reviews, provide feedback, and enforce coding and data standards.
- Drive UAT, go-live readiness, defect resolution, and post-production optimization.
- Translate business requirements into actionable technical designs and provide effort estimates, delivery plans, and status updates.
- Lead technical teams while balancing hands-on engineering with team leadership.
Requirements
- At least 5 years of professional experience is required.
- At least 1 year of experience in Data 360 implementation projects is required.
- Hands-on experience configuring and developing Salesforce Data Cloud (Data 360), including Data Streams, DMOs, Identity Resolution, Match Rules, Data Transforms, Calculated Insights, Segmentation, and Activation.
- Advanced SQL skills for analytics and Calculated Insights.
- Experience with APIs, event data, cloud data platforms, JSON, and data integration pipelines.
- Understanding of customer engagement tracking, Salesforce metadata, objects, and permissions.
- Salesforce Data Cloud Consultant and Salesforce Administrator certifications are mandatory.
- Sales Cloud and Service Cloud knowledge is preferred.
- Exposure to Einstein, Zero Copy, Document AI, Semantic Layer, Salesforce Agentforce, and Marketing Cloud capabilities is preferred.
- Agentforce Specialist and Salesforce AI Associate certifications are preferred.
- Strong communication, problem-solving, decision-making, and stakeholder-management skills.
- Fifteen 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.