Job 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 into Salesforce Data Cloud.

✦   Apply AI techniques for data quality assessment, automated mapping, deduplication, entity resolution, and anomaly detection.

✦   Architect data models within Salesforce Data Cloud, including Data Model Objects (DMOs), data streams, and calculated insights.

✦   Collaborate with Salesforce architects, business analysts, and stakeholders to define data migration requirements and transformation rules.

✦   Develop and maintain automated testing frameworks to validate data accuracy, completeness, and consistency.

✦   Implement data governance standards, lineage tracking, and compliance controls.

✦   Leverage Salesforce tools such as MuleSoft, Data Loader, Salesforce CLI, and APIs 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.

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Job Requirements:

✦   Bachelor’s or Master’s 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, AWS, and GCP.

✦   Hands-on experience with Salesforce Data Cloud and Salesforce data model.

✦   Experience applying AI tools for data quality, entity matching, or intelligent data transformation.

✦   Experience with MuleSoft, Workato, or other integration platforms.

✦   Solid understanding of cloud platforms and their data services.

✦   Knowledge of data governance, data privacy regulations, and data security best practices.

✦   Salesforce certifications such as Data Cloud Consultant, Platform Developer, or MuleSoft Developer.

✦   Experience with Salesforce Einstein AI, Agentforce, or Prompt Builder.

✦   Familiarity with vector databases, RAG patterns, and LLM integration.

✦   Experience with EDI data formats and B2B integration patterns.

✦   Experience working with global or distributed teams in Agile/Scrum environments.

✦   Exposure to data lakehouse architectures and their integration with Salesforce.

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Job Application:

✦   Job Application Type: Link

​      Job Application Link: https://www.linkedin.com/jobs/search/?currentJobId=4383100889&f_TPR=r86400&keywords=salesforce&location=India&sortBy=R&start=400