Engineering Software Architect - Marketing Intelligence

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Job Category
Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

• System Design Authority: Lead the design of complex, high-performance systems, defining service boundaries, API contracts and deployment patterns
• Business Impact Design: Architect solutions that offer the best balance of time-to-market, cost-efficiency, and long-term scalability, focusing clearly on enabling core marketing objectives (e.g., increasing conversion rates, improving customer LTV).
• Technology Evaluation: Evaluate and recommend specific technologies, frameworks, and tools to meet product requirements, balancing modern trends with corporate standards and long-term maintainability.

• Hands-off Leadership: Provide expert architectural guidance.
• Risk & Security: Identify technical risks, performance bottlenecks, and security implications in the proposed designs, working with teams to build in quality, security, and observability from the start.

• 15+ years of professional software engineering experience, with at least 3+ years in a dedicated Software Architect or Principal Engineer role leading the design of a major product/platform.
• Deep Understanding of Marketing Business Value: Mandatory and demonstrable experience working with or directly supporting Marketing, AdTech, or Customer Experience (CX) domains. Must be fluent in the goals and technical requirements of a modern digital marketing organization.
• Mastery and hands-on experience with modern programming languages .Big-corp Orientation: Ability and desire to work in a big-corporation environment, gaining knowledge from the vast experience of teams and leading complex dependencies.
• Strong background in designing and implementing backend data systems (e.g. SQL generators, data modeling engines, data intensive applications, complex and data-driven projects).
• Experience in data engineering AI/ML
• Demonstrated ability to successfully bridge the gap between non-technical stakeholders (Product, Marketing) and technical teams (Engineering).
• Experience in a big tech corporation (5K+ employees), adept at navigating organizational complexity and adhering to enterprise standards.

• Communication & Influence: Exceptional ability to communicate complex architectural trade-offs to non-technical stakeholders (Product, Marketing) while also providing clear, precise technical direction to engineering teams.
• Problem-Solver: Demonstrated history of solving ambiguous, large-scale technical challenges that directly impact product delivery and business metrics.