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Senior Technology Lead, Engineering
Job in
Waukegan, Lake County, Illinois, 60087, USA
Listed on 2026-09-05
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-05
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
- Lead design and delivery of complex, end-to-end Salesforce Marketing Cloud initiatives for partner marketing
- Own and architect end-to-end data models for Salesforce Marketing Cloud and Salesforce Data Cloud
- Design and build a knowledge graph connecting partner, property, contact, and campaign entities
- Define ontology, entity relationships, identity resolution, and deduplication logic
- Design, develop, and optimize data capture, processing, storage, and distribution solutions
- Build and maintain reliable, observable, cost-efficient batch and streaming pipelines
- Model and curate trusted datasets for marketing, analytics, and partner teams
- Expose data through APIs and services integrating internal platforms and third-party marketing tools
- Use AI-assisted development tools and help establish appropriate use cases
- Integrate AI and LLM capabilities into marketing data workflows with evaluation and guardrails
- Develop ETL/ELT pipelines from source systems through transformation and orchestration into SFMC, Data Cloud, and the knowledge graph
- Architect Zero Copy integration between Salesforce Data Cloud and Expedia Group's external data lake
- Establish pipeline orchestration, scheduling, monitoring, SLAs, and reliability practices
- Drive platform health, change/release management, CI/CD, monitoring, and alerting
- Serve as a technical resource, unblock issues, and review designs and pull requests
- Mentor engineers and document platform and data architecture knowledge
- Partner with marketing stakeholders, data science partners, and Salesforce contacts on implementation plans
- Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience
- 10+ years of experience building and operating enterprise software platforms
- Hands-on experience in Salesforce Data Cloud (Data 360, Automation Studio, Journey Builder, Content Builder, SSJS/AMPscript, SOAP/REST APIs) or comparable enterprise Mar Tech platforms
- Experience leading complex technical projects end-to-end with minimal supervision
- Experience with data integration patterns including SFTP, SOAP/REST, Data Extensions, and CDP/Data Cloud
- Experience architecting CRM or marketing platform data models
- Data engineering experience designing and building ETL/ELT pipelines, large-scale audience and contact datasets, SQL, and cloud data warehouses
- Strong proficiency in SQL and at least one data-engineering programming language such as Python, Scala, or Java
- Experience with data processing frameworks and orchestration tools such as Spark, Airflow, or dbt
- 5+ years of hands-on programming experience with Python, Java, or Scala
- Strong SQL skills and understanding of database design, data ingestion, modeling, and performance optimization
- Demonstrable experience with AWS services including S3, Redshift, Lambda, Glue, DynamoDB, EC2, and App Flow
- Experience with batch or stream processing using Spark, Kafka, or SQS
- Experience building with LLMs and GenAI services, prompt design, retrieval/RAG patterns, vector stores, and output-quality evaluation
- Experience using agentic AI for development and task orchestration
- Preferred: experience migrating from Marketo, Message Gears, or similar ESPs to Salesforce Marketing Cloud
- Preferred:
Salesforce Data Cloud, Zero Copy data architecture, knowledge graphs, CI/CD for Salesforce metadata, B2B marketing platforms, NBA recommendation systems, streaming/batch processing, data governance, and Salesforce Marketing Cloud certifications
Demonstrates expertise in architecting and delivering complex Salesforce Marketing Cloud initiatives, including data modeling, ETL/ELT pipeline development, and integration of AI capabilities. Proficient in managing data workflows, ensuring platform reliability, and mentoring engineering teams.
Highest-signal resume keywords- Salesforce Marketing Cloud
- ETL/ELT Pipeline Development
- Data Engineering
- SQL Proficiency
- AI Integration
- Data Modeling
- ETL/ELT Development
- SQL
- Python
- Java
- Scala
- Data Integration Patterns
- Data Processing Frameworks
- Knowledge Graphs
- Batch and Stream Processing
- Leadership
- Mentoring
- Problem Solving
- Collaboration
- Communication
- Salesforce Marketing Cloud Certification
- Mar Tech Platforms
- Data Governance
- B2B Marketing
- Zero Copy Data Architecture
- NBA Recommendation Systems
- Salesforce Data Cloud
- AWS Services
- Spark
- Airflow
- Kafka
- SFTP
- SOAP/REST APIs
- CI/CD Tools
- GenAI Services
- Agentic AI
Position Requirements
10+ Years
work experience
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