MarTech Engineer – Staff Augmentation Consultant

We are seeking a hands-onMarTech Engineerto provide technical expertise across our marketing technology ecosystem, includingCDP, 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.

• 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. DevelopPython scripts for custom data imports, transformation, validation, and automation. Troubleshoot data ingestion, quality, segmentation, and activation issues.
• Email & Marketing Automation:Serve as a hands-onHubSpottechnical SME. Configure complex segments, workflows, campaigns, personalization, and email journeys. Build and maintainemail templates, modules, and landing page templatesusing HubSpot. Troubleshoot campaign, segmentation, workflow, and delivery issues.
• Analytics:Support implementation, configuration, instrumentation, and troubleshooting for digital analytics platforms, preferablyAdobe 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 usingKameleoon or similar platforms, including audiences, targeting rules, experiments, and personalization experiences.
• Reporting:Develop and maintainTableau 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. ApplySDLC practicesacross requirements, configuration/development, testing, deployment, change management, and production support.

• Strong hands-on experience with enterpriseMarTech platforms and ecosystems.
• Deep experience withHubSpot or similar email/marketing automation platforms, including complex segmentation, workflows, email templates, and landing pages.
• Hands-on CDP experience, preferablyTreasure AI, including data ingestion, transformation, segmentation, and activation.
• StrongPython scriptingskills for data processing, custom imports, transformation, validation, and automation.
• Experience withCJA, Amplitude, or similar analytics platforms.
• Experience withKameleoon or similar personalization/experimentation platforms.
• Hands-onTableaureporting/dashboard experience.
• Strong understanding of data structures, schemas, customer/event data, segmentation, and end-to-end data flows.
• Working knowledge ofSQL, 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.

Originally posted on Himalayas