Marketing Analytics Engineer, Data Products - Activation

Requirements Design, build, and maintain analytics-ready and activation-ready marketing data products in Snowflake Co-own the marketing data product lifecycle, including definitions, source systems, transformation logic, data contracts, refresh cadence, quality thresholds, lineage, downstream consumers, activation destinations, change control, and limitations Define and maintain the canonical marketing data model across Snowflake, HubSpot, Salesforce, DXP, paid media, reporting, and activation platforms Convert one-off audience requests and campaign list logic into reusable, documented segment data products Build and manage governed AI context layers for LLMs, AI assistants, and agentic workflows Develop data structures connecting website behavior to known and unknown audience profiles and Salesforce CRM outcomes Partner with Digital Experience, Marketing Automation, Paid Media, Sales Operations, Revenue Operations, Legal / Compliance, Analytics, and Enterprise Data teams Create durable data models for identity resolution, golden account/contact attributes, engagement scoring, buyer-group intelligence, product interest, lifecycle movement, consent, suppression, and channel eligibility Build reusable activation datasets and reverse ETL requirements for downstream marketing, CRM, paid media, digital experience, and journey orchestration platforms Establish data quality checks, reconciliation logic, monitoring routines, product SLAs, and exception handling Support predictive lead qualification, intent scoring, attribution, MQL value, expansion opportunity, and next-best-action initiatives Use AI-assisted development and analytics techniques while maintaining human review, governance, and quality standards Core Competencies Demonstrates expertise in building and maintaining analytics-ready marketing data products, with a strong focus on data modeling, quality assurance, and collaboration across marketing and technology teams. Proficient in leveraging advanced SQL and cloud data warehouse environments like Snowflake to support B2B marketing analytics and AI-driven initiatives. Highest-signal resume keywords Advanced SQL Experience Data Modeling in Snowflake B2B Marketing Data Understanding Data Quality Controls Collaboration with Cross-Functional Teams ATS Optimization Keywords Hard Skills Analytics Engineering Data Engineering Marketing Analytics Engineering Digital Analytics RevOps Analytics Data Transformation Logic Audience Segmentation Lead Lifecycle Management Event Design Predictive Scoring Soft Skills Stakeholder Enablement Collaboration Problem Solving Communication Industry Keywords B2B Marketing Campaign Metadata Website Behavior Conversion Tracking Data Quality Identity Resolution Journey Orchestration Reverse ETL Consent Modeling Tag Governance Tools & Technologies Snowflake Salesforce CRM HubSpot Dbt Business Intelligence Platforms Digital Experience Platforms AI Coding Assistants Workflow Automation Tools #J-18808-Ljbffr Jobtailor