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Senior Data Migration Developer

Jadeglobal · Pune, Maharashtra
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Pune, Maharashtra
languages
python, shell, sql
tools
bigquery, oracle, postgresql
> stack
pythonshellsqlbigqueryoraclepostgresqlsnowflake
> description
Senior Data Migration Developer1

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.

Apply at Jadeglobal →