Senior Data Migration Developer
Pune, Maharashtra
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and execute end-to-end data migration strategies for Salesforce clouds and Data Cloud
Cleanse and vectorize legacy data so it is ready for Agentforce retrieval
Extract data from legacy databases and transform it to Salesforce and Data Cloud schemas
Map complex object relationships while preserving legacy record IDs and external IDs
Build automated checks to reconcile record counts, relationships, and deduplication after migration
From the employer’s posting
Design and execute scalable, end-to-end data migration strategies across Sales Cloud, Service Cloud, PRM, ARM, custom objects, and Data Cloud for enterprise clients.
Ensure legacy and transactional data is cleansed, standardized, and vectorized (RAG-ready) to support Agentforce Reasoning Engine
Extract data from legacy databases (SQL Server, Oracle, PostgreSQL, Snowflake) and transform it to meet target Salesforce and Data Cloud schema standards.
Map complex source-to-target entity relationships (Master-Detail, Lookups, Junction Objects, Polymorphic fields) while preserving legacy record IDs and external IDs.
Create automated verification checks to reconcile post-migration record counts, relationship trees, deduplication rules
Tools in this posting
- Python
- SQL
- BigQuery
- Oracle
- PostgreSQL
- Snowflake
- SQL Server
Source — Tool mentions in context
- SQL & SOQL: Advanced proficiency in writing complex SQL queries, stored procedures, joins, and SOQL/SOSL queries. - Scripting/Programming: Hands-on capability in Python, Shell scripting, or Apex for custom data transformation and pre-migration sanitization. Preferred Experience & Certifications
- Agentforce & AI Data Readiness: Ensure legacy and transactional data is cleansed, standardized, and vectorized (RAG-ready) to support Agentforce Reasoning Engine, action triggers, and grounding context. - Data Extraction & ETL/ELT: Extract data from legacy databases (SQL Server, Oracle, PostgreSQL, Snowflake) and transform it to meet target Salesforce and Data Cloud schema standards. - Field & Relationship Mapping: Map complex source-to-target entity relationships (Master-Detail, Lookups, Junction Objects, Polymorphic fields) while preserving legacy record IDs and external IDs.
- Data Cloud & Data Lakehouses: Practical knowledge of Salesforce Data Cloud ingestion, Data Streams, Identity Resolution, and Zero-Copy architecture (e.g., Snowflake, BigQuery integrations). - SQL & SOQL: Advanced proficiency in writing complex SQL queries, stored procedures, joins, and SOQL/SOSL queries. - Scripting/Programming: Hands-on capability in Python, Shell scripting, or Apex for custom data transformation and pre-migration sanitization.
- Data Tools Mastery: Advanced experience with Salesforce Data Loader, MuleSoft, Jitterbit, Talend, Informatica Cloud (IICS), or Workbench. - Data Cloud & Data Lakehouses: Practical knowledge of Salesforce Data Cloud ingestion, Data Streams, Identity Resolution, and Zero-Copy architecture (e.g., Snowflake, BigQuery integrations). - SQL & SOQL: Advanced proficiency in writing complex SQL queries, stored procedures, joins, and SOQL/SOSL queries.
Posting record
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- Live
- First seen by us
- Aug 27, 2026 · 67 days ago
- Recorded sightings
- 127
- Last seen by us
- Nov 2, 2026
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Job description
Key Responsibilities
Migration Strategy & Architecture: Design and execute scalable, end-to-end data migration strategies across Sales Cloud, Service Cloud, PRM, ARM, custom objects, and Data Cloud for enterprise clients.
Agentforce & AI Data Readiness: Ensure legacy and transactional data is cleansed, standardized, and vectorized (RAG-ready) to support Agentforce Reasoning Engine, action triggers, and grounding context.
Data Extraction & ETL/ELT: Extract data from legacy databases (SQL Server, Oracle, PostgreSQL, Snowflake) and transform it to meet target Salesforce and Data Cloud schema standards.
Field & Relationship Mapping: Map complex source-to-target entity relationships (Master-Detail, Lookups, Junction Objects, Polymorphic fields) while preserving legacy record IDs and external IDs.
Unstructured Data Ingestion: Prepare unstructured data assets (PDFs, knowledge articles, case histories) for migration into Data Cloud to power Agentforce retrieval workflows.
High-Volume Execution & Automation: Leverage Salesforce APIs (Bulk API 2.0, REST/SOAP) and ETL/Zero-Copy tools to process millions of records without exceeding platform governor limits.
Validation, QA & Governance: Create automated verification checks to reconcile post-migration record counts, relationship trees, deduplication rules, and Salesforce Einstein/Agentforce Trust Layer compliance.
Required Technical Skills & Qualifications
Salesforce Expertise (5+ yrs): Strong hands-on experience with core Salesforce architecture, data security model, governor limits, and data import/export utilities.
AI & Agentforce Data Concepts: Working understanding of Salesforce Agentforce, Atlas Reasoning Engine context grounding, RAG (Retrieval-Augmented Generation), vector databases, and how dirty data impacts AI agent decisions.
Data Tools Mastery: Advanced experience with Salesforce Data Loader, MuleSoft, Jitterbit, Talend, Informatica Cloud (IICS), or Workbench.
Data Cloud & Data Lakehouses: Practical knowledge of Salesforce Data Cloud ingestion, Data Streams, Identity Resolution, and Zero-Copy architecture (e.g., Snowflake, BigQuery integrations).
SQL & SOQL: Advanced proficiency in writing complex SQL queries, stored procedures, joins, and SOQL/SOSL queries.
Scripting/Programming: Hands-on capability in Python, Shell scripting, or Apex for custom data transformation and pre-migration sanitization.
Preferred Experience & Certifications
Certifications:
Salesforce Certified Data Cloud Consultant (Required / Highly Preferred)
Salesforce Certified Administrator or Integration Architect
Salesforce Agentforce / AI Specialist Certification
Experience in complex Org-to-Org consolidations or migrating legacy knowledge bases to Salesforce for AI consumption.
Familiarity with Model Context Protocol (MCP) or external API integrations for AI agent actions.
Experience working in Agile/Scrum delivery environments.
Source details
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- Location & working pattern
Pune, Maharashtra
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