Streaming Data

Role

Lead Engineer for a MarTech Engineering & Orchestration POD responsible for architecting and building next-generation marketing technology. The role focuses on designing scalable, event-driven systems that process high volumes of customer interactions to enable real-time, personalized marketing and automated customer journeys, while incorporating AI-assisted development practices.

Key Responsibilities

• Provide technical leadership and end-to-end ownership of engineering initiatives across marketing orchestration, real-time data processing, and customer activation pipelines.
• Architect scalable, event-driven distributed systems to power personalized marketing experiences and automated journeys.
• Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise marketing tools.
• Build and optimize high-performance data applications and streaming pipelines using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
• Implement cloud-native data pipelines and orchestration on Azure, including Azure Data Factory (ADF) for ingestion and transformations.
• Drive AI-assisted engineering practices, including Vibe Coding and generative AI development accelerators.
• Collaborate with product managers, marketing strategists, and data scientists to translate business requirements into technical solutions.
• Mentor and develop engineering team members, elevate coding standards, and champion operational excellence.

Requirements

• Hands-on experience with enterprise marketing platforms such as Adobe Campaign, Salesforce Marketing Cloud, Braze, or Oracle Responsys.
• Strong proficiency in Scala, Databricks, Spark SQL, Spark Streaming, and Python for building high-volume data pipelines.
• Experience with Azure services, particularly Azure Data Factory (ADF) and Event Hubs, and cloud-native data engineering patterns.
• Advanced system design skills for event-driven architectures, stream processing, and distributed systems.
• Familiarity with AI-augmented development tools and practices (e.g., Vibe Coding, GitHub Copilot) and generative AI accelerators.
• Knowledge of DevOps practices including CI/CD, observability, infrastructure as code, and automated testing.
• Proven leadership and stakeholder management skills in cross-functional, fast-paced environments.

Preferred Qualifications

• Experience with large-scale marketing ecosystems (ESP, CDP, personalization engines) and real-time decisioning platforms.
• Background in high-volume data processing for customer engagement or growth marketing use cases.
• Exposure to AI/ML pipelines for personalization, audience segmentation, or content automation.
• Familiarity with modern data architectures such as data mesh and Lakehouse, and real-time analytics patterns.

Contact

For applications and inquiries: [email protected]