Data Engineer building data integration pipelines for data lakes and warehouses. Collaborating with stakeholders to meet business requirements in a leading publishing company.
About the role
- Salesforce Data Architect designing and optimizing enterprise-grade data architectures across Salesforce platforms. Collaborating with team members to ensure data quality and readiness for analytics.
Responsibilities
- Design and own Salesforce data models across core clouds (Sales, Service, Financial Services, Consumer Goods)
- Define object models, relationships, field strategy, and data lifecycle management
- Ensure scalability, performance, and alignment with Salesforce best practices
- Lead data governance, naming conventions, and standards
- Architect and oversee data migrations from legacy systems (ERP, CRM, custom databases)
- Define strategies for data synchronization, deduplication, and master data management
- Establish and enforce data quality frameworks (validation, deduplication, enrichment)
- Partner with stakeholders on data ownership, stewardship, and compliance
- Support regulatory and security requirements (PII, GDPR, role-based access)
- Design data structures optimized for Salesforce reporting, dashboards, and analytics
- Enable downstream use cases for Einstein, AI, and advanced analytics
- Support Data Cloud and Customer 360 initiatives where applicable
Requirements
- 5+ years of experience working with Salesforce platforms, including 3+ years in a data-focused role such as Data Architect or Senior Data Specialist
- Strong expertise in Salesforce object modeling, schema design, security model, and data access controls, governor limits.
- Proven experience with data migration strategies and tools, as well as supporting multi-system, enterprise-level environments
- Hands-on experience with Salesforce integrations using REST and SOAP APIs
- Experience with ETL and middleware tools such as MuleSoft, Boomi, Talend, or Informatica
- Advanced SQL and data analysis skills
- Experience handling large data volumes.
- Knowledge of data modeling tools (ERWin, Lucidchart, etc.)
- Strong communication and problem-solving capabilities, with professional written and spoke
Benefits
- Competitive health coverage (medical, dental, vision)
- Generous paid time off
- Wellness programs and work-life flexibility
- Community involvement + volunteer opportunities
- Employee recognition and career development support
- A vibrant, supportive culture where we work hard, learn constantly, and celebrate often
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