Senior Technical Architect & Developer – Marketing Automation
About the role
What you will do
Data Architecture & Engineering
• Operations Enablement: Prepare, clean, structure, and model all marketing data specifically so that Marketing Operations teams can seamlessly run campaigns, execute audience segmentations, and manage daily platform operations without technical friction.
• Data Modeling: Design, build, and optimize scalable relational database structures, data extensions, custom data models, and subscriber key lifecycles tailored to Marketing Operational needs.
• ETL & Data Pipelines: Collaborate with our Data Team to build high-performance automated SQL queries and ETL pipelines to ingest, clean, transform, and map large datasets from internal data warehouse (e.g., Snowflake, BigQuery) into production-ready data extensions for the Ops team.
• Governance & Hygiene: Maintain data hygiene, identity resolution, deduplication protocols, and real-time data sync across the Marketing tech ecosystem to safeguard operational efficiency.
Technical Customization & Custom Development
• Write clean, maintainable, and scalable custom platform code (e.g., AMPscript, Server-Side JavaScript / SSJS, WSProxy, or equivalent scripting/logic frameworks) to power complex personalization engines.
• Develop custom dynamic rendering logic, interactive web forms, and landing pages with secure backend logic.
• Troubleshoot complex automation failures, script exceptions, and high-volume data transformation bottlenecks.
API & Ecosystem Integrations
• Architect, configure, and maintain robust API integrations (REST, SOAP, Webhooks) connecting our core product applications, mobile backends, and third-party systems to the marketing platform.
• Configure native CRM and enterprise database connectors, ensuring bidirectional real-time data consistency and minimal latency.
• Manage API rate limits, payload efficiency, OAuth authentication, and failure retry handlers across all integration touchpoints.
Platform Operations & System Health
• Monitor automation runtimes, script performance, and query execution efficiency to maintain 99.9% operational uptime.
• Lead platform security governance, business unit/partition structuring, user permissions, and global privacy compliance (GDPR, CCPA, CAN-SPAM).
• Partner with DevOps and IT Security to oversee domain authentication (DKIM, SPF, DMARC), dedicated IP management, and deliverability infrastructure.
Experience and qualifications
Core Technical Competencies
• Advanced SQL & Database Design: Heavy hands-on experience structuring relational data models, writing complex joins, data aggregation, and query performance tuning.
• Integrations & Protocols: Solid grasp of REST and SOAP APIs, JSON/XML payload construction, authentication standards (OAuth 2.0), webhooks, and API test tools (Postman).
• Scripting & Code: Mastery of platform-specific scripting (AMPscript, SSJS) or strong proficiency in general languages like JavaScript, Node.js, or Python, with an eagerness to apply programming principles to marketing technology.
• MarTech & AI System Curiosity: A deep, genuine passion for understanding how marketing systems work under the hood - from event-driven triggers and relational data mapping to agentic AI workflows, CDP data models, and automated personalization engines.
Experience
• 3+ years of hands-on technical architecture, system administration, or custom development inside Salesforce Marketing Cloud (SFMC) (Automation Studio, Journey Builder technical configurations, Contact Builder, CloudPages, API integrations, or early exposure to Marketing Cloud Next / Data Cloud / AI frameworks).
• Demonstrated curiosity and practical understanding of how AI (Predictive AI, Generative AI, or Agentic AI frameworks) is transforming technical marketing execution.
• Proven track record of evaluating, adopting, and mastering new marketing platforms and technical tools throughout your career.
Key Personality Traits
• Technology & AI Enthusiast: You actively follow developments in marketing technology, Customer Data Platforms (CDPs), AI-driven marketing automation, and modern data engineering practices.
• Platform Agnostic: You view tools and AI models as vehicles to solve data and communication problems, not as rigid boundaries.
• Problem Solver: You enjoy untangling complex data bugs, race conditions, integration failures, and AI logic edge-cases.
Additional information
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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