RSM US LLP

Salesforce Data Architect – Data Cloud, AI

RSM US LLP

full-time

Posted on:

Location Type: Office

Location: Hyderabad • India

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Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudERPETLGoogle Cloud PlatformPythonSQL

About the role

  • Lead and execute AI-driven data migration initiatives within the Salesforce ecosystem
  • 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
  • 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

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 (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, India’s DPDP Act), and data security best practices
  • Salesforce certifications such as Data Cloud Consultant, Platform Developer, or MuleSoft Developer (preferred)
Benefits
  • flexibility in your schedule
  • total rewards available at https://rsmus.com/careers/india.html
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data migrationETLELTSQLPythondata pipeline frameworksAI techniquesdata modelingautomated testing frameworksdata governance
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingattention to detail
Certifications
Data Cloud ConsultantPlatform DeveloperMuleSoft Developer