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Customer & Marketing Data Engineering Manager

United States, Springfield · Job Posted December 07, 2025
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Job Description

This hybrid role blends marketing strategy, customer analytics, and hands-on engineering leadership—perfect for someone who can bridge business priorities with technical execution to deliver measurable growth.

Job Responsibility

  • Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
  • Analyze customer behavior, campaign performance, and conversion data—turning insights into action
  • Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
  • Optimize digital channels (email, social, web) to improve ROI and customer experiences
  • Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
  • Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
  • Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
  • Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
  • Modernize outdated systems and implement forward-looking data architectures
  • Align engineering and marketing roadmaps to ensure technology fuels business outcomes
  • Establish best practices around CI/CD, data quality, documentation, and automation

Requirements

  • 10+ years in digital marketing, data analytics, or data engineering
  • 4+ years in a leadership role
  • Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
  • Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
  • Ability to turn marketing goals into clear technical plans and measurable results
  • Exceptional communication skills and comfort working across technical, marketing, and executive teams
  • Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Nice to have

  • Experience with Google Analytics, Adobe Analytics, and marketing attribution
  • Familiarity with HubSpot, Marketo, or Salesforce Marketing Cloud
  • Hands-on cloud experience (AWS, GCP, or Azure) and CI/CD practices
  • Strong SQL/Python for analysis and automation
  • Experience running A/B or multivariate experiments
  • Industry experience in retail, e-commerce, or automotive

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