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Senior Data Engineer - Digital Marketing & Analytics

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted January 31, 2026
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Job Description

The Senior Data Engineer – Digital Marketing & Analytics is responsible for implementing and operating Consumer Data Platform (CDP) data pipelines and data layers that support analytics, activation, and AI enabled digital marketing across CGE & IM. We are hiring for two roles, one role will focus on analytics and reporting data engineering including semantic data layers in Fabric, the second role will focus on a platform activation layer to integrate our data with various marketing tools, AI agent, machine learning. This role partners closely with a Technical Architect and Data Strategist to translate defined business requirements and architecture into clear implementation specifications and reliable data solutions.

Job Responsibility

  • Build data pipelines and curated datasets per CDP architecture and Technical Architect guidelines
  • Define implementation specs covering mapping, transformation, validation, and dependencies
  • Maintain analytics- and activation-ready data layers for reporting, segmentation, personalization, and AI
  • Collaborate with Data Strategist and analytics teams to clarify measurement and AI requirements
  • Assess feasibility, risks, and methods using available data sources
  • Flag and recommend solutions for data gaps, quality issues, or dependencies
  • Integrate necessary first- and third-party data for CDP use cases
  • Apply standard ingestion and transformation patterns according to governance standards
  • Structure and document data for analytics and activation
  • Embed data quality checks, monitoring, and lineage in workflows
  • Ensure pipelines comply with consent, retention, and privacy mandates
  • Coordinate with Legal, Privacy, and Governance on new or updated data sources
  • Oversee pipeline health, including monitoring and root cause analysis
  • Automate and standardize processes to minimize manual work
  • Support optimization and scaling of CDP implementations
  • Operate within a shared ownership model for roadmap, architecture, and delivery
  • Achieve clarity on data sources, integration and communicate status and risks to both technical and non-technical audiences
  • Share feedback to guide future architectural decisions
  • Embody our culture and values

Requirements

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience
  • 2+ years experience with data governance, data compliance and/or data security
  • Experience supporting digital marketing, personalization, experimentation, or customer analytics use cases
  • Experience working with or alongside a Customer Data Platform (CDP), Azure and Fabric Data Factories
  • Familiarity with identity data concepts and activation workflows
  • Experience operating within architect-led or strategist-led delivery models

Nice to have

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience

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