Salesforce Technical Architect and Evangelist / Partner Sales (Data & AI) - US Remote

Employer Industry: Technology Consulting

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Work remotely from your home office within the United States
- Leadership-level role with a focus on innovative solutions and collaboration
- Engage in technical evangelism and education across teams and clients
- Involvement with cutting-edge Salesforce technology and cloud platforms
- Competitive salary and benefits package

What to Expect (Job Responsibilities):
- Architect and implement scalable, secure, and high-performance data solutions on the Salesforce platform
- Lead discovery workshops to understand business challenges and design end-to-end data pipelines
- Guide data engineers, analysts, and developers in implementing best practices on Salesforce
- Act as a subject matter expert for Salesforce, developing workshops and technical presentations
- Collaborate with sales teams to provide technical guidance during RFP responses

What is Required (Qualifications):
- Minimum of 8 years of experience in data architecture, engineering, or analytics roles, with at least 3 years of hands-on experience with Salesforce
- Proven track record of designing and implementing large-scale data solutions across industries
- Experience working in consulting or client-facing roles, particularly with GSIs or enterprise customers
- Deep understanding of modern data architecture principles, including cloud platforms (AWS, Azure, GCP)
- Proficiency in SQL, Python, and ETL tools (e.g., DBT, Informatica, Matillion)

How to Stand Out (Preferred Qualifications):
- Exceptional communication and presentation skills for explaining technical concepts to non-technical stakeholders
- Strong interpersonal skills to foster collaboration with diverse teams
- A self-starter with a growth mindset and adaptability in a fast-paced environment
- Salesforce Advanced Certification or equivalent
- Certifications in cloud platforms such as AWS, Azure, or GCP

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