Lead Data Engineer in Alameda

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Role: Lead Data Engineer – Future of Email POD (MarTech Engineering & Orchestration)

Key Skills: Scala, Databricks, Spark SQL, Spark Streaming, MarTech and Orchestration.

Experience : 10+ years

Location: San Francisco, CA

Mode: Hybrid

We're at Coforge is seeking for Lead Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next‑ marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big‑data engineering, cloud- 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‑ 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:

• 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.