Software Engineering Architect - Marketing Automation

Software Engineering Architect – Marketing Automation

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
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
Experience with Salesforce products and technologies, particularly Data Cloud, CRM, and Flow
Strong foundation in AI/ML algorithms
Hands-on experience with programming languages such as Java, Python, or Scala
Excellent communication and interpersonal skills
A related technical degree required

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

Experience with the latest in Amazon Web Services offerings particularly in data, machine learning, and AI
Experience with marketing technology platforms such as email platforms, AdTech platforms, web platforms, and customer data platforms
Experience leading architecture and technical development for Digital teams with high volume web based transactional systems
Experience with containerization and orchestration technologies (Docker, Kubernetes, Airflow)
Contributions to open-source projects or technical communities related to marketing platforms, data, automation, or AI/ML