Explore the dynamic and high-impact world of Customer & Marketing Data Engineering Manager jobs, a pivotal leadership role at the intersection of data technology, marketing strategy, and customer insight. Professionals in this career are the essential architects who build and manage the data infrastructure that powers modern, data-driven marketing and customer experience initiatives. They lead teams to transform raw data into actionable intelligence, enabling personalized customer engagement, optimized marketing spend, and measurable business growth. A Customer & Marketing Data Engineering Manager typically oversees the entire data lifecycle supporting marketing and customer functions. Common responsibilities include designing and implementing scalable, reliable data pipelines that consolidate information from diverse sources such as CRM platforms (like Salesforce), marketing automation tools (like Marketo or HubSpot), web analytics, advertising platforms, and transactional databases. They are accountable for creating a unified, clean, and accessible data foundation—often using cloud data warehouses like Snowflake, BigQuery, or Redshift—that serves as the single source of truth for customer analytics and campaign reporting. This involves establishing robust data models, ensuring high data quality and governance, and enabling efficient data transformation workflows using tools like dbt and orchestration platforms like Apache Airflow. Leadership and cross-functional collaboration are central to the role. These managers mentor and guide a team of data engineers, BI developers, and analytics professionals, fostering best practices in software engineering, CI/CD, and documentation. Crucially, they act as a strategic translator between technical teams and business stakeholders in Marketing, Growth, and Product departments. They work to align the data engineering roadmap with key business objectives, such as improving customer lifetime value, increasing conversion rates, and enabling sophisticated segmentation and personalization at scale. Typical skills and requirements for these jobs include a strong foundation in both data engineering principles and marketing technology ecosystems. Candidates generally need several years of hands-on experience with SQL, Python, and cloud data platforms, progressing into leadership roles. A deep understanding of how marketing operates—including concepts like attribution, customer journey mapping, and channel performance—is equally vital. Excellent communication and project management skills are essential to bridge technical and non-technical domains. A bachelor’s or advanced degree in Computer Science, Data Science, Engineering, or a related quantitative field is commonly expected. For those seeking jobs that blend technical depth with business strategy to directly influence customer relationships and revenue, the Customer & Marketing Data Engineering Manager role offers a challenging and rewarding career path.
