Lead Engineer – Future of Email POD

Lead Engineer – Future of Email POD

MarTech Engineering & Orchestration

About the Role

We are seeking a visionary Lead Engineer to architect and build the next generation of marketing technology. In this role, you'll lead a dedicated Product Development (POD) team focused on reimagining how brands connect with customers through intelligent, real-time engagement systems.

You'll bridge the worlds of big data, cloud engineering, and marketing automation—designing systems that process millions of customer interactions and deliver personalized experiences on a scale. If you're excited about combining modern data engineering with AI-driven development and want to shape the future of customer engagement, this role offers a unique opportunity to make a massive impact.

Key Responsibilities

Technical Leadership & Architecture

Lead end-to-end engineering initiatives across marketing orchestration, real-time data processing, and customer activation pipelines

Architect scalable, event-driven systems that power personalized marketing experiences and automated customer journeys

Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems

Engineering & Development

Design and implement orchestration workflows using Adobe Campaign (or equivalent enterprise marketing tools)

Build high-performance data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python

Develop and optimize cloud-native data pipelines on Azure, including ADF-based ingestion, transformation, and orchestration

Drive AI-assisted engineering practices including Vibe Coding and generative AI development accelerators

Collaboration & Team Development

Partner with product managers, marketing strategists, and data scientists to translate business needs into robust technical solutions

Mentor engineers, elevate coding standards, and champion operational excellence within the POD

Bridge the gap between technical complexity and business impact—translating architecture decisions into tangible customer outcomes

Required Skills & Experience

MarTech & Orchestration

Deep expertise with enterprise marketing platforms—hands-on experience with Adobe Campaign or similar tools (Salesforce Marketing Cloud, Braze, Oracle Responsys)

Understanding of customer journey orchestration, segmentation, and real-time decisioning

Big Data Engineering

Strong proficiency in Scala, Databricks, Spark SQL, Spark Streaming, and Python

Experience building high-volume data pipelines that power customer engagement use cases

Cloud & Architecture

Hands-on experience with Azure services, particularly Azure Data Factory (ADF) , Event Hubs, and related data services

Advanced system design capabilities including event-driven architectures, stream processing, and distributed systems patterns

Modern Development Practices

Experience with AI-augmented development (Vibe Coding, GitHub Copilot, or similar)

Familiarity with DevOps practices: CI/CD, observability, infrastructure as code, automated testing

Leadership & Communication

Proven ability to lead engineering teams in fast-paced, cross-functional environments

Strong stakeholder management skills—able to explain complex technical concepts to non-technical audiences

Preferred Qualifications

Experience in large-scale marketing ecosystems—ESP, CDP, personalization engines, real-time decisioning platforms

Background in high-volume data processing supporting customer engagement or growth marketing

Exposure to AI/ML pipelines for personalization, audience segmentation, or content automation

Familiarity with modern data architecture (data mesh, Lakehouse, real-time analytics)