Description

Design and own the end-to-end architecture for Salesforce Data Cloud, focusing on unified customer profiles, identity resolution, and data ingestion strategies.

This role is on-site.

Responsibilities

• Design unified profile schemas using Data Model Objects (DMOs) and Data Lake Objects (DLOs), implementing deterministic, fuzzy, and probabilistic identity resolution rules.
• Define identity resolution strategies for multi-source retail data (loyalty, POS, e-commerce), balancing precision and recall for household-level grouping.
• Architect data ingestion patterns, optimizing batch versus near-real-time flows and managing Data Service Credit consumption.
• Establish technical governance standards, including architecture decision records, data quality thresholds, and configuration review processes.
• Lead technical solutioning with stakeholders, translating business requirements into Data Cloud integration specifications and monitoring resolution quality KPIs.

Required Skills

• 5+ years of experience in data engineering or data architecture roles.
• Deep expertise in Salesforce Data Cloud, including DMOs, DLOs, and match rule configuration.
• Strong background in Data Lake technologies and data engineering principles.
• Experience designing identity resolution frameworks and customer data platforms (CDP).
• Ability to optimize data ingestion pipelines and manage credit usage effectively.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with retail industry data sources and multi-channel identity challenges.
• Familiarity with offshore delivery team governance and technical leadership.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree