Description

We are seeking an experienced Salesforce Data 360 Lead Engineer to own the technical build and configuration of enterprise-scale Customer 360 solutions. The ideal candidate can independently configure Data 360 components, build integrations, implement AI/predictive models, and lead a team of engineers through delivery.

Responsibilities

- Design and implement Customer 360 data architecture, including data models, identity resolution, unified profiles, segmentation, calculated insights, and activation strategies.
- Implement AI and predictive models to specification, including agent, prompt, and model configuration.
- Build sentiment analysis and NLP-based classification capabilities across customer channels.
- Develop integrations with third-party systems like telephony, messaging, kiosk, order management, accounting, or document management platforms.
- Implement zero-copy data architecture, real-time ingestion pipelines, and identity resolution logic across all customer channels.
- Develop and deliver integrations with third-party systems as required by the solution.
- Lead sprint execution, code/config reviews, and unit/integration testing.
- Support UAT cycles, defect resolution, and go-live cutover activities.
- Produce technical documentation, configuration guides, and runbooks for handover.
- Support hypercare post-go-live, including incident triage and issue resolution.

Requirements
- 6+ years of Salesforce development/engineering experience, including 2+ years hands-on Data 360 build experience.




- Hands-on configuration experience with Data Lake Objects (DLO), Data Model Objects (DMO), Identity Resolution, Unified Profiles, Calculated Insights, Segmentation, and Activation.
- Experience building Agentforce agents and Prompt Builder templates in a production environment.
- Experience implementing predictive/AI models (lead scoring, propensity, churn, CLV) using Data 360 and Einstein.
- Hands-on experience with sentiment analysis and NLP for real-time text and voice classification.
- Experience with zero-copy data architecture and real-time data ingestion pipelines.
- Experience integrating third-party systems like telephony, messaging, kiosk, order management, accounting, or document management platforms with Salesforce.
- Strong REST API, MuleSoft, and at least one of Amazon S3, Snowflake, or Databricks integration skills.
- Strong SQL, data modeling, and ETL/ELT skills.
- Experience building CRM Analytics (Tableau CRM) or Data 360 dashboards.
- Familiarity with the Salesforce Trust Layer and responsible-AI guardrails.
- Solid debugging, testing, and technical documentation skills.

Desired Skills:
- Experience with Snowflake, Databricks, AWS, Azure, or Google Cloud.
- Industry experience in Retail, Real Estate, Financial Services, Manufacturing, Healthcare, or Telecom.

Required Certifications:
- Salesforce Certified Data 360 Consultant
- Salesforce Certified Agentforce Specialist
- Salesforce Certified Platform Developer I
- Salesforce Certified Service Cloud Consultant (Preferred)

📌 Lead Engineer - Salesforce Data 360 (Bengaluru)
🏢 QBurst
📍 Bengaluru