Responsible for Salesforce data architecture, high-volume archival, retention, data integrity, and secure data handling.

Required technical skills

LARGE DATA VOLUMES

- Salesforce object/relationship modeling, storage usage analysis, growth forecasting, query selectivity and indexing

- Case-related child object dependencies, retention policies, referential integrity and audit needs

ARCHIVAL ENGINEERING

- Archival categorization: lock away, external and AI-available, or retain for user access

- Bulk API 2.0, Data Loader, SOQL/SQL, ETL/ELT, Batch/Queueable/Scheduled Apex

- Controlled extraction, deletion, reconciliation, restoration and operational exception handling

BACKUP AND RECOVERY

- Required hands-on experience with OWN Backup for Salesforce data backup, retention, restore operations, recovery validation, and reconciliation of restored records and relationships

DATA PROTECTION

- PII/sensitive-field discovery, masking and anonymization patterns, steward validation

- Sandbox refresh data validation, secure data handling and masking verification

AI AND REPORTING

- Data 360 / Agentforce impact validation, external access patterns and downstream reporting dependencies.

📌 Salesforce Data Engineer (Bengaluru)
🏢 Everforth Quinnox
📍 Bengaluru