Role: Data360 Engineer

Shift timings: 2pm to 11pm

Duration: 0-6months

: Data360 Engineer

Role Summary

We are seeking a Data360 Engineer to design and build data foundations on Salesforce Data360 and deliver predictive insights to business users and AI agents.

Technical Requirements

- Salesforce Data360 (Data Cloud): data streams, Data Lake Objects, Data Model Objects, identity resolution, calculated and streaming insights, data transforms
- Data modeling and data engineering, ideally with healthcare payer and scheduling data
- SQL and Python for transformation and feature engineering
- Predictive modeling: building, evaluating, and deploying models using Einstein Studio Model Builder or external ML platforms (SageMaker, Vertex AI, Databricks)
- Data360 search indexes and retrievers (vector and hybrid)
- Salesforce Flow and Lightning for agent-facing experiences
- Integration with source systems via connectors (S3, Snowflake, MuleSoft, Salesforce CRM)
- Familiarity with Agentforce, Prompt Builder, and invocable actions (preferred)





Functional Requirements

- Translate business needs into data models, features, and measurable outcomes
- Work with historical scheduling and insurance data across payers, providers, and group codes
- Build and monitor predictive models, including drift tracking and retraining
- Make insights available to human agents now and AI agents later through search and retrievers
- Apply data privacy and governance controls (HIPAA/PHI, field-level security, audit)
- Quantify business impact through baselines, pilots, and success metrics
- Collaborate with business stakeholders, Salesforce developers, and data science teams

Qualifications

- Hands-on Data360 delivery experience
- Robust analytical and ML fundamentals
- Understanding of healthcare data and compliance
- Salesforce certifications such as Data Cloud Consultant or Platform Developer (preferred)

📌 Data360 Engineer (Hyderabad)
🏢 Artech
📍 Hyderabad