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Mid-level, common Data Engineer title in metro with generalist marketing-data skills increases competition.
Data engineering skills transfer across industries, but marketing-platform and privacy domain knowledge increases sensitivity.
Explicit 4+ years, marketing-data specialization and required Python/SQL/data pipeline skills enforce strict filtering.
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Design, develop, and manage data models, identity resolution rules, and segmentation frameworks supporting marketing demand generation and field marketing teams.
Build and maintain robust data pipelines for ingestion, normalization, and segmentation of customer data from multiple sources, ensuring data quality and governance compliance.
Collaborate with stakeholders across IT, marketing, and service to translate requirements into technical solutions and promote best practices in marketing data handling and integration.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 4 years of experience in marketing data engineering or related roles.
Proficiency in Python, SQL, and data pipeline frameworks with experience working on large data sets and data integration from various sources.
Knowledge of data privacy regulations such as GDPR and CCPA and best practices in data governance.
Experienced in designing scalable and reliable marketing data pipelines with strong problem-solving skills applicable in collaborative environments.
Familiarity with marketing automation platforms and customer data platforms to effectively integrate and utilize diverse marketing data sources.
Capable of translating complex data concepts for non-technical stakeholders and maintaining comprehensive documentation for operational continuity.