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Senior Technology Lead, Engineering

Job in Arlington Heights, Cook County, Illinois, 60005, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-05
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 160000 - 210000 USD Yearly USD 160000.00 210000.00 YEAR
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
Requirements
  • 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
Core Competencies

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
ATS Optimization Keywords Hard Skills
  • Data Modeling
  • ETL/ELT Development
  • SQL
  • Python
  • Java
  • Scala
  • Data Integration Patterns
  • Data Processing Frameworks
  • Knowledge Graphs
  • Batch and Stream Processing
Soft Skills
  • Leadership
  • Mentoring
  • Problem Solving
  • Collaboration
  • Communication
Certifications & Qualifications
  • Salesforce Marketing Cloud Certification
Industry Keywords
  • Mar Tech Platforms
  • Data Governance
  • B2B Marketing
  • Zero Copy Data Architecture
  • NBA Recommendation Systems
Tools & Technologies
  • Salesforce Data Cloud
  • AWS Services
  • Spark
  • Airflow
  • Kafka
  • SFTP
  • SOAP/REST APIs
  • CI/CD Tools
  • GenAI Services
  • Agentic AI
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Position Requirements
10+ Years work experience
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