Senior Data Manager

Job Title: Senior Data Engineer / Manager – Data Engineering (CDP) Location: Katy, TX Work Model: Onsite 4 days per week Duration: Initial 3-month contract (project expected to extend through 2026) Start Date: ASAP Job Summary Must-Have Experience • Hands-on experience with MarTech platforms and at least one Customer Data Platform (CDP): • Adobe Real-Time CDP • Salesforce Data Cloud • Treasure Data • Tealium • Twilio Segment • Amperity • Strong background in Retail / MarTech environments • Experience operating at a Manager / Lead Data Engineer level Technical Leadership & Architecture • Own the end-to-end CDP architecture, with a primary focus on customer unification and identity resolution • Define and govern identity resolution frameworks, including deterministic and probabilistic matching • Design and maintain enterprise-scale identity graphs and golden customer records • Establish best practices for: • Data modeling • Ingestion and transformation • Customer unification on BigQuery • Lead architectural decisions for batch and near real-time data pipelines Delivery & Execution • Lead development of scalable, high-performance data pipelines using BigQuery and GCP services • Ensure data quality, consistency, lineage, and observability across customer datasets • Optimize BigQuery performance and cost efficiency • Oversee integrations with: • Marketing platforms • Analytics tools • Activation and engagement channels Stakeholder & Team Leadership • Partner with Marketing, Analytics, Product, and Engineering teams to translate business needs into CDP solutions • Act as a technical mentor and reviewer for data engineering and CDP team members • Drive alignment on customer identity standards across platforms • Provide technical guidance on CDP roadmap, enhancements, and platform evolution Governance & Compliance • Define and enforce data governance, privacy, and consent management standards • Ensure compliant handling of PII and adherence to regulations such as GDPR and CCPA • Establish strong documentation and knowledge-sharing practices for identity logic and data flows