Data Engineer
Galent
Job Description
Data Engineer
Location:
Raleigh, North Carolina (Hybrid)
Job Summary
We are seeking an experienced Senior Data Engineer with expertise in Marketing Technology, Customer Data Platforms (CDP), marketing analytics, audience management, and data governance. The ideal candidate will leverage data and analytics solutions to enable personalized customer experiences, optimize marketing performance, and deliver actionable insights that drive business growth.
Key Responsibilities
- Design, develop, and support scalable data pipelines, data warehouses, and data solutions using IICS, SQL, Python, API, Git, Kafka, Redwood, Control-M, and related technologies.
- Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads.
- Implement and improve data quality controls, reconciliation processes, and testing frameworks to ensure reliable data assets.
- Optimize data pipeline performance and operational efficiency through monitoring, automation, testing, CI/CD, dashboards, and production support.
- Measure and optimize marketing campaign performance across acquisition, engagement, conversion, and retention metrics.
- Support implementation, configuration, and optimization of marketing technology platforms including Adobe Experience Platform (AEP), Adobe RTCDP, Marketo, Salesforce, and related tools.
- Create, validate, and maintain audience segments for personalization, targeting, and activation initiatives.
- Monitor end-to-end data flows between CRM, CDP, analytics, and marketing automation platforms.
- Perform data validation, quality checks, and root cause analysis to resolve data discrepancies.
- Define and implement data cleansing, standardization, and governance rules for customer data.
- Partner with marketing, product, analytics, and engineering teams to translate business requirements into data-driven solutions.
- Conduct customer journey and behavioral analysis to improve customer experience and marketing effectiveness.
- Support experimentation initiatives, including A/B testing and campaign performance analysis.
- Develop audience measurement frameworks, attribution models, and reporting methodologies.
- Ensure compliance with data privacy regulations, consent management requirements, and organizational governance standards.
- Support identity resolution, customer profile unification, and cross-channel audience activation initiatives.
- Identify opportunities for automation and reporting efficiency improvements.
- Present analytical findings and recommendations to business leaders and cross-functional teams.
Required Skills
- Customer Data Platforms (CDP)
- Adobe AEM
- Marketing Technology (MarTech)
- SQL
- Python
- APIs
- Git
- Kafka
- Redwood
- Control-M
- ETL/ELT Development
- Data Integration
- Data Governance
- Marketing Analytics
- Audience Management
- Adobe Experience Platform (AEP)
- Adobe Real-Time Customer Data Platform (RTCDP)
- Marketo
- Salesforce
- CI/CD Processes
- Data Quality and Validation
- Customer Journey Analytics
- Campaign Performance Analysis
Preferred Skills
- Experience with Adobe Experience Cloud products
- Experience with Customer Data Platforms (CDP), particularly Adobe RTCDP
- Knowledge of customer identity resolution and audience activation
- Familiarity with Azure, AWS, or Snowflake
- Working knowledge of R or data automation tools
- Experience with A/B testing and statistical analysis
Qualifications
- Experience building and supporting enterprise-scale data engineering solutions.
- Strong knowledge of customer data platforms, marketing technology ecosystems, and marketing analytics.
- Experience with data quality, governance, and customer data management practices.
- Strong analytical and problem-solving skills.
- Experience working with cross-functional stakeholders across marketing, product, analytics, and engineering teams.
- Ability to present technical findings and recommendations to business stakeholders.
- Experience supporting customer profile unification, audience activation, and data-driven marketing initiatives.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
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