Marketing Automation Architect

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

In Marketing Automation, we act as an innovation lab to deploy Salesforce technology for our business needs, build new functionality to meet Salesforce use cases, and share back code and insights to Product teams to accelerate the development of the Salesforce platform for our customers! The Marketing Automation group focuses on our data, AI, and automation platforms to enable Salesforce to handle our customer data at scale, produce robust analytics from our go to market activities, and integrate AI and ML algorithms into automated decision making to drive key business actions. This role will drive the development of our marketing automation technology using Salesforce Data Cloud, AI, Agentforce, Flows, core CRM, and partner data platform technologies from Amazon Web Services, Snowflake, Google Cloud, and many more. You serve as a technical inspiring leader driving the long term architectural vision for the Marketing Automation group while working closely with product and engineering teams to advise them on day to day architectural decisions in line with Salesforce and industry standard methodologies!

Responsibilities:

• Architect and design scalable software applications, data platforms, data pipelines, automation systems, system integrations, and AI/ML algorithm outputs that integrate cohesively to deliver Salesforce business outcomes

• Define and implement architectural principles, standards, and best practices for data management, automation, AI/ML development, application development, and system integrations.

• Lead technical discussions, design reviews, and code reviews to ensure the quality, maintainability, and scalability of software solutions.

• Collaborate with multi-functional teams to collect requirements, analyze technical feasibility, and develop comprehensive architectural solutions for platform and application development.

• Stay up-to-date with emerging technologies and industry trends in data, automation, and AI/ML to find opportunities for innovation and improvement.

• Mentor and coach junior engineers and data scientists to enhance their technical skills and architectural understanding.

Qualifications:

• Master's degree in Computer Science, Engineering, or a related field 15+ years of experience in software development and architecture with a strong focus on data platforms, automation, and AI/ML. Mastery of architectural principles

• Proven understanding of microservices, event-driven architecture, domain driven design (DDD), and other modern architectural styles to build robust and adaptable systems.

• Experience in architecting and building large-scale distributed systems using cloud-based technologies (AWS, GCP, Azure). Expertise in data modeling, data warehousing, data processing frameworks (Spark, Hadoop), real-time streaming technologies (Kafka), and AI/ML platforms (TensorFlow, PyTorch). Experience establishing and promoting software development standard methodologies: Proven track record of implementing and advocating for CI/CD pipelines, TDD, code reviews, and other quality assurance practices to ensure robust and reliable software delivery.

• Experience with Salesforce products and technologies, particularly Data Cloud, CRM, and Flow and how these products integrate into Salesforce Marketing Cloud and partner Marketing Technology platforms.

• Strong foundation in AI/ML algorithms: Familiarity with supervised, unsupervised, and reinforcement learning algorithms with understand of ML algorithm outputS and processes in software systems

• Hands-on experience with programming languages such as Java, Python, or Scala. Excellent communication and interpersonal skills with the ability to optimally collaborate with teams with varied strengths.

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