Data Engineer (Customer Data Platform)

Data Engineer - Customer Data Platform (CDP)Location: Kennesaw, GA (Onsite - 4 days/week)Employment Type: Contract-to-HireAbout TURNBRIDGETURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We focus on quality over volume — enabling fast shortlists, fewer interviews, and start-date assurance while partnering closely with our clients to solve complex technology challenges.Role OverviewTURNBRIDGE is seeking a Data Engineer - Customer Data Platform (CDP) to design, build, and scale a modern Customer Data Platform that powers a true Customer 360 view. This role sits at the intersection of data engineering, analytics enablement, and growth strategy, supporting cross-sell identification, customer lifetime value (CLV) measurement, and propensity modeling across multiple product lines.This is a highly visible, hands-on role ideal for someone who connects data architecture decisions directly to business impact.Key ResponsibilitiesCustomer 360 Architecture (20%)Design and build a unified Customer 360 using Salesforce Data Cloud (formerly Data 360) Integrate first-party CRM data, GA4 behavioral data, transactional records, and product usage signalsAnalytics & AI/ML Enablement (15%)Translate business questions into scalable data structures that support analytics, AI/ML model development, and downstream activationPropensity Modeling & Segmentation (15%)Develop and deploy propensity models to support customer segmentation, targeting, and personalization initiativesData Governance & Compliance (10%)Ensure data quality, enforce governance standards, and manage PII handling, consent, and privacy complianceData Pipeline Development (10%)Design and maintain scalable batch and zero-copy pipelines to ingest, unify, and activate customer data across platformsIdentity Resolution (10%)Build identity resolution and data harmonization models that enable cross-product insights and personalization at scaleCross-Functional Collaboration (10%)Partner with analytics, marketing, and product teams to unlock cross-sell opportunities, CLV modeling, and propensity-to-buy use casesCDP Strategy & Roadmap (5%)Contribute to CDP roadmap decisions and evaluate emerging data technologies to keep the platform aligned with evolving business needsRequired QualificationsBachelor’s degree in Information Systems, Computer Science, or a related field5-7+ years of experience in data engineering3-5+ years working with enterprise CDPs or customer data platformsMinimum 2-3 years of hands-on experience with Salesforce Data Cloud Strong hands-on experience building analytics- and activation-ready data pipelines using SQL, Python, dbt, or similar toolsDeep understanding of digital analytics and behavioral data, including GA4 event-based schemas Experience supporting downstream analytics, machine learning models, or activation platformsHands-on experience designing and optimizing data models in BigQuery or comparable cloud data warehousesExperience integrating and managing customer data across multiple product lines in an enterprise environmentPreferred MindsetAbility to think beyond pipelines — connecting data architecture decisions to revenue, retention, and growth outcomes Strong communicator who can partner effectively across technical and non-technical teamsTechnology StackSalesforce Data Cloud (Data 360)BigQueryGA4 / Digital AnalyticsPython / SQLdbtIdentity ResolutionPropensity ModelingCRM IntegrationsCloud-Native Data PipelinesWhy TURNBRIDGE?Precision-driven hiring and delivery modelHigh-impact, enterprise-scale data initiativesCollaborative, outcomes-focused environmentClear path from contract to full-time conversion