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Technical Architect – Salesforce Data Cloud
Job Description & How to Apply Below
Education and Experience
- Education:
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - Experience:
15+ years of experience in data architecture or technical architecture roles, with at least 5 years focused on Salesforce Data Cloud within the financial services or banking domain. - Proven success in architecting data solutions for enterprise-level environments, especially within highly regulated industries.
- Expert knowledge of Salesforce Data Cloud, including data modeling, real-time data processing, segmentation, and integration capabilities.
- Extensive experience with API development, RESTful services, and integration platforms like Mule Soft, especially within Salesforce and core banking environments.
- Strong knowledge of data security, data privacy, and compliance standards, including PII protection and PCI-DSS.
- Proficiency in cloud platforms (AWS, Azure, GCP) and data management tools (ETL, SQL, and data lakes) to support enterprise data strategies.
- Preferred certifications include Salesforce Data Architect, Salesforce Application Architect, and Salesforce Certified Technical Architect.
- Comprehensive understanding of data challenges, regulatory environments, and opportunities in digital banking, including member personalization and compliance.
- Ability to align data architectures with business goals and digital transformation objectives.
- Strong strategic and problem-solving skills with a focus on scalability and innovation.
- Excellent communication and stakeholder management abilities, capable of articulating architectural decisions to executive and technical audiences.
- Demonstrated leadership and mentorship capabilities, fostering a collaborative, high-performance team culture.
- Advanced understanding of credit union regulations, such as UDAAP, Truth in Savings, and data privacy requirements.
- Experience with Salesforce Financial Services Cloud and its integration with Data Cloud.
- Familiarity with advanced analytics, machine learning, or AI as applied to digital banking.
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