Data360 Engineer

About the Role

Artech L.L.C. is seeking a Data360 Engineer to design and build data foundations on Salesforce Data360 and deliver predictive insights to business users and AI agents.

Shift timings: 2pm to 11pm

Duration: 0-6 months

Key Responsibilities

• Translate business needs into data models, features, and measurable outcomes.
• Design and build data foundations on Salesforce Data360.
• Deliver predictive insights to business users and AI agents.
• 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 and AI agents 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.

Requirements & Tech Stack

• 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).

Qualifications

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