Python Lead Engineer

NmkglobalincContract
California
12 - 20 YearsFeb 27th, 2026
72 ViewsBe an Early Applicant
Required Skillset:
JavaPythonDatabricksMartechAI/ML

Job Description

Position: Python Lead Engineer – Future of Email POD (MarTech Engineering & Orchestration)

Location: SFO(Onsite)

Duration: Long Term Contract 

Exp : 12+ years 

 

Role Overview

The Lead Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next‑generation marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big‑data engineering, cloud-native design, and emerging AI‑driven development patterns. The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high‑impact customer engagement capabilities.

 

Key Responsibilities

  • Lead end‑to‑end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
  • Architect scalable, event‑driven systems that power real‑time marketing experiences and automated customer journeys.
  • Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise‑grade tools.
  • Develop high‑performance big‑data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
  • Build and optimize cloud‑native data pipelines on Azure, including ADF‑based ingestion, transformation, and orchestration.
  • Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
  • Drive AI‑assisted engineering practices including Vibe Coding and other generative‑AI 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.

 

Required Skills & Experience

  • Deep expertise in MarTech platforms with hands‑on experience in Adobe Campaign or similar orchestration tools.
  • Strong proficiency in big‑data technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.
  • Cloud engineering experience with Azure services, including Azure Data Factory.
  • Advanced system design capabilities including event‑driven architectures and distributed design patterns.
  • Experience with AI‑augmented development such as Vibe Coding or comparable frameworks.
  • Proven ability to lead engineering teams in a fast‑paced, cross‑functional environment.
  • Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.

 

Preferred Qualifications

  • Experience in large‑scale marketing ecosystems (ESP, CDP, personalization engines, real‑time decisioning).
  • Background in high‑volume 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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