Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
About the role
- Data Architect at RSM leading AI-driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
Responsibilities
- 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
Job title
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