Job Title: Lead Full Stack Engineer (MarTech & Big Data)

Location: San Francisco, CA (Onsite)
Job Type: Contract

Job Summary

We are seeking an experienced Lead Full Stack Engineer to design, develop, and scale next-generation marketing technology solutions. This is a hands-on technical leadership role requiring expertise in MarTech platforms, big data engineering, cloud-native technologies, and AI-assisted software development. The ideal candidate will have strong experience building scalable, event-driven applications, leading engineering teams, and delivering enterprise-grade customer engagement solutions.

Key Responsibilities

• Lead the design, development, and delivery of enterprise MarTech engineering solutions.

• Architect and build scalable, event-driven applications supporting real-time marketing and customer engagement.

• Design and implement marketing orchestration workflows using Adobe Campaign or similar enterprise platforms.

• Develop high-performance data processing applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.

• Build and optimize cloud-native data pipelines using Azure services, including Azure Data Factory (ADF).

• Design distributed systems with a focus on scalability, reliability, maintainability, and performance.

• Leverage AI-assisted development practices and modern engineering tools to improve productivity and code quality.

• Collaborate closely with product managers, marketing teams, architects, and data engineers to deliver business-focused solutions.

• Provide technical leadership, mentor development teams, and promote engineering best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• 10+ years of experience in Full Stack Software Engineering with technical leadership responsibilities.

• Strong hands-on experience with Adobe Campaign or similar MarTech orchestration platforms.

• Expertise in Scala, Databricks, Apache Spark, Spark SQL, Spark Streaming, and Python.

• Experience building cloud-native solutions using Microsoft Azure and Azure Data Factory (ADF).

• Strong understanding of event-driven architecture, distributed systems, and modern software design patterns.

• Experience with AI-assisted software development tools and modern engineering practices.

• Proven experience leading cross-functional engineering teams and delivering enterprise-scale applications.

• Excellent communication, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience with Customer Data Platforms (CDP), Enterprise Marketing Platforms (ESP), personalization engines, or real-time decisioning solutions.

• Background in large-scale customer engagement or marketing technology ecosystems.

• Experience with CI/CD pipelines, DevOps practices, automated testing, and application monitoring.

• Knowledge of AI/ML solutions for personalization, customer segmentation, or content automation.

• Experience working in Agile/Scrum development environments.

Required Skills

• Adobe Campaign

• MarTech Platforms

• Scala

• Databricks

• Apache Spark

• Spark SQL

• Spark Streaming

• Python

• Microsoft Azure

• Azure Data Factory (ADF)

• Event-Driven Architecture

• Distributed Systems

• Full Stack Development

• AI-Assisted Development

• CI/CD

• DevOps

• System Design

• Agile/Scrum