Lead Data Engineer with MarTech

Georgia IT Inc.
South San Francisco, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

South San Francisco, United States of America

Tech stack

Automation of Tests
Azure
Big Data
Cloud Engineering
Software Quality
Continuous Integration
Software Design Patterns
DevOps
Distributed Systems
Hive
Python
Scala
Workflow Management Systems
Data Processing
Azure
Adobe Campaign
Spark Streaming
Machine Learning Operations
Data Pipelines
Databricks

Job description

  • Lead endtoend MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
  • Architect scalable, eventdriven systems that power realtime marketing experiences and automated customer journeys.
  • Design and implement orchestration workflows using Adobe Campaign or equivalent enterprisegrade tools. Develop highperformance bigdata applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python. Build and optimize cloudnative data pipelines on Azure, including ADFbased ingestion, transformation, and orchestration.
  • Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
  • Drive AIassisted engineering practices including Vibe Coding and other generativeAI development accelerators.
  • Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions.
  • Mentor engineers and elevate engineering standards, code quality, and operational excellence within the POD.

Requirements

  • Deep expertise in MarTech platforms with handson experience in Adobe Campaign or similar orchestration tools.
  • Strong proficiency in bigdata technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.
  • Cloud engineering experience with Azure services, including Azure Data Factory. Advanced system design capabilities including eventdriven architectures and distributed design patterns.
  • Experience with AIaugmented development such as Vibe Coding or comparable frameworks.
  • Proven ability to lead engineering teams in a fastpaced, crossfunctional environment.
  • Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.
  • Preferred Qualifications Experience in largescale marketing ecosystems (ESP, CDP, personalization engines, realtime decisioning).
  • Background in highvolume data processing supporting customer engagement or growth marketing. Familiarity with DevOps practices including CI/CD, observability, and automated testing.
  • Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.

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