Data Engineer (Customer Data Platform)

Data Engineer - Customer Data Platform (CDP) Location: Kennesaw, GA (Onsite - 4 days/week) Employment Type: Contract-to-Hire About TURNBRIDGE TURNBRIDGE 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 Overview TURNBRIDGE 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 Responsibilities Customer 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 signals Analytics & AI/ML Enablement (15%) • Translate business questions into scalable data structures that support analytics, AI/ML model development, and downstream activation Propensity Modeling & Segmentation (15%) • Develop and deploy propensity models to support customer segmentation, targeting, and personalization initiatives Data Governance & Compliance (10%) • Ensure data quality, enforce governance standards, and manage PII handling, consent, and privacy compliance Data Pipeline Development (10%) • Design and maintain scalable batch and zero-copy pipelines to ingest, unify, and activate customer data across platforms Identity Resolution (10%) • Build identity resolution and data harmonization models that enable cross-product insights and personalization at scale Cross-Functional Collaboration (10%) • Partner with analytics, marketing, and product teams to unlock cross-sell opportunities, CLV modeling, and propensity-to-buy use cases CDP Strategy & Roadmap (5%) • Contribute to CDP roadmap decisions and evaluate emerging data technologies to keep the platform aligned with evolving business needs Required Qualifications • Bachelor’s degree in Information Systems, Computer Science, or a related field • 5-7+ years of experience in data engineering • 3-5+ years working with enterprise CDPs or customer data platforms • Minimum 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 tools • Deep understanding of digital analytics and behavioral data, including GA4 event-based schemas • Experience supporting downstream analytics, machine learning models, or activation platforms • Hands-on experience designing and optimizing data models in BigQuery or comparable cloud data warehouses • Experience integrating and managing customer data across multiple product lines in an enterprise environment Preferred Mindset • Ability 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 teams Technology Stack • Salesforce Data Cloud (Data 360) • BigQuery • GA4 / Digital Analytics • Python / SQL • dbt • Identity Resolution • Propensity Modeling • CRM Integrations • Cloud-Native Data Pipelines Why TURNBRIDGE? • Precision-driven hiring and delivery model • High-impact, enterprise-scale data initiatives • Collaborative, outcomes-focused environment • Clear path from contract to full-time conversion