MarTech Engineer – Staff Augmentation Consultant
About the Role We are seeking a hands-on MarTech Engineer to provide technical expertise across our marketing technology ecosystem, including CDP, email/marketing automation, analytics, personalization, and reporting. This is not a traditional application or API development role. The consultant will focus on hands-on platform configuration, segmentation, data ingestion and transformation, Python scripting, implementation, troubleshooting, and operational support while applying appropriate SDLC practices.
Key
Responsibilities CDP & Data: Serve as a technical SME for our CDP (Treasure AI preferred). Configure data sources, destinations, schemas, transformations, complex audience segments, and activation workflows. Develop Python scripts for custom data imports, transformation, validation, and automation. Troubleshoot data ingestion, quality, segmentation, and activation issues. Email & Marketing Automation: Serve as a hands-on HubSpot technical SME. Configure complex segments, workflows, campaigns, personalization, and email journeys. Build and maintain email templates, modules, and landing page templates using HubSpot. Troubleshoot campaign, segmentation, workflow, and delivery issues. Analytics: Support implementation, configuration, instrumentation, and troubleshooting for digital analytics platforms, preferably Adobe Customer Journey Analytics (CJA), Amplitude, or similar. Understand behavioral/event data flows and support campaign and customer journey measurement. Personalization & Experimentation: Configure and support personalization and experimentation capabilities using Kameleoon or similar platforms, including audiences, targeting rules, experiments, and personalization experiences. Reporting: Develop and maintain Tableau dashboards and reports, including data validation and troubleshooting of reporting discrepancies. Cross-Platform Engineering: Understand and troubleshoot end-to-end data flows across MarTech platforms. Document architecture, configurations, data flows, audience logic, and operational procedures. Apply SDLC practices across requirements, configuration/development, testing, deployment, change management, and production support.
Qualifications Strong hands-on experience with enterprise MarTech platforms and ecosystems. Deep experience with HubSpot or similar email/marketing automation platforms, including complex segmentation, workflows, email templates, and landing pages. Hands-on CDP experience, preferably Treasure AI, including data ingestion, transformation, segmentation, and activation. Strong Python scripting skills for data processing, custom imports, transformation, validation, and automation. Experience with CJA, Amplitude, or similar analytics platforms. Experience with Kameleoon or similar personalization/experimentation platforms. Hands-on Tableau reporting/dashboard experience. Strong understanding of data structures, schemas, customer/event data, segmentation, and end-to-end data flows. Working knowledge of SQL, HTML/CSS, SDLC, source control, testing, and release/change management. Understanding of APIs and integration patterns for troubleshooting and collaboration; hands-on API development is not required. Healthcare or other regulated-industry experience is preferred.