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