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Lead Data Engineer with MarTech

Hybrid in San Francisco, CA, US • Posted 2 days ago • Updated 2 days ago

Contract W2

12 Months

Hybrid

$20 - $70/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Machine Learning (ML)
Design Patterns
ESP
Generative Artificial Intelligence (AI)
Marketing
Continuous Integration
Customer Engagement
Data Processing
Databricks
DevOps
Big Data
Cloud Computing
Collaboration
Communication
Continuous Delivery
ADF
Adobe Campaign
Apache Spark
Artificial Intelligence
Automated Testing
Python
Real-time
SQL
Scala
Scalability
Streaming
Systems Design
Mentorship
Microsoft Azure
Operational Excellence
Orchestration
Product Marketing
Workflow

Summary

Position: Lead Data Engineer with MarTech

Location: SFO, CA (Hybrid 2 days a week)

Duration: Contract

Rate: DOE

Key Responsibilities

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.

Required Skills & Experience

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10398358
Position Id: 8983285
Posted 2 days ago

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