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About the Role

We are seeking a highly skilled Data Architect based in India to lead and execute AI-driven data migration initiatives within the Salesforce ecosystem. This role is central to our strategy of leveraging artificial intelligence and advanced data techniques to deliver seamless migrations to and from Salesforce. We are also looking for this role to help drive our implementation services of Salesforce Data Cloud. You will work at the intersection of data migration AI and Salesforce platform expertise to ensure data integrity scalability and intelligent transformation across complex enterprise datasets.

Key Responsibilities

• Design develop and implement end-to-end data migration strategies for Salesforce and Data Cloud implementations using AI-powered tools and frameworks.
• Build and optimize ETL/ELT pipelines to ingest transform and load data from diverse source systems (ERP CRM data warehouses legacy systems) into Salesforce Data Cloud.
• Apply AI techniques for data quality assessment automated mapping deduplication entity resolution and anomaly detection during migration processes.
• Architect data models within Salesforce Data Cloud including Data Model Objects (DMOs) data streams and calculated insights to support unified customer profiles.
• Collaborate with Salesforce architects business analysts and stakeholders to define data migration requirements mapping specifications and transformation rules.
• Develop and maintain automated testing frameworks to validate data accuracy completeness and consistency across migration phases.
• Implement data governance standards lineage tracking and compliance controls throughout the migration lifecycle.
• Leverage Salesforce tools such as MuleSoft Data Loader Salesforce CLI and APIs (REST/Bulk/Streaming) to facilitate data movement and integration.
• Monitor and optimize migration performance troubleshoot data pipeline failures and ensure SLA adherence.
• Create comprehensive technical documentation including data dictionaries migration runbooks and architecture diagrams.

Required Qualifications

• Bachelors or Masters degree in Computer Science Data Science Information Technology or a related field.
• 5 years of professional experience in data architecture with at least 2 years focused on Salesforce data migrations or Salesforce Data Cloud implementations.
• Strong proficiency in SQL Python and data pipeline frameworks across Snowflake Azure (Data Factory Synapse) AWS (Glue Redshift Step Functions) and GCP (BigQuery Dataflow Cloud Composer)
• Hands-on experience with Salesforce Data Cloud and the Salesforce data model (standard/custom objects relationships metadata).
• Demonstrated experience applying AI tools for data quality entity matching or intelligent data transformation (e.g. OpenAI APIs Google Vertex AI or custom models).
• Experience with MuleSoft Workato or other integration platforms for enterprise-scale data connectivity.
• Solid understanding of cloud platforms (AWS Azure or GCP) and their data services.
• Knowledge of data governance data privacy regulations (GDPR Indias DPDP Act) and data security best practices.

Preferred Qualifications

• Salesforce certifications such as Data Cloud Consultant Platform Developer or MuleSoft Developer.
• Experience with Salesforce Einstein AI Agentforce or Prompt Builder for AI-native Salesforce solutions.
• Familiarity with vector databases RAG (Retrieval-Augmented Generation) patterns and LLM integration for data enrichment.
• Experience with EDI data formats and B2B integration patterns.
• Prior experience working with global or distributed teams in Agile/Scrum environments.
• Exposure to data lakehouse architectures (Snowflake Databricks) and their integration with Salesforce.

Technical Skills

Salesforce

Data Cloud Agentforce Sales/Service Cloud MuleSoft Data Loader Bulk API Streaming API

Programming

Python SQL Apex JavaScript (LWC) SOQL/SOSL

Data Architecture

Snowflake Azure (Data Factory Synapse) AWS (Glue Redshift Step Functions) and GCP (BigQuery Dataflow Cloud Composer)

AI/ML

OpenAI APIs LangChain Scikit-learn entity resolution NLP data quality ML models

Cloud Platforms

AWS (S3 Glue Lambda) Azure (Data Factory Synapse) GCP (BigQuery Dataflow)

Integration

MuleSoft Anypoint REST/SOAP APIs EDI middleware architecture

DevOps & Tools

Git GitHub Enterprise CI/CD pipelines Salesforce CLI SFDX

At RSM we offer a competitive benefits and compensation package for all our offer flexibility in your schedule empowering you to balance lifes demands while also maintaining your ability to serve more about our total rewards at

RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/ is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application interview or otherwise participate in the recruiting process please send us an email at .