Senior Technical Architect & Developer – Marketing Automation

Sonar•Austin, TX

9d•Hybrid

About The Position

Sonar is seeking a deeply technical Marketing Technology Architect / Developer to lead the data architecture, custom code development, system integrations, and infrastructure scalability of its marketing engine. The role currently supports Salesforce Marketing Cloud (SFMC) and may contribute to evaluating next-generation architecture such as Marketing Cloud Next. The company values platform-agnostic technical problem-solving, strong data architecture, and interest in marketing technology and AI-driven marketing innovations over specific certifications. The position prepares marketing data for Marketing Operations, builds scalable relational data models, and develops automated pipelines with the Data Team to move and transform data warehouse datasets into production-ready marketing data. It also involves writing custom platform code, developing personalization and web experiences, maintaining API integrations and bidirectional system syncs, and monitoring platform performance, security, privacy, and deliverability. The role is based in the location where it is posted, with three anchor days in the office each week: Mondays, Tuesdays, and Thursdays. Sonar is willing to support relocation for the right candidate. Sonar is an equal opportunity employer and may use AI tools to assist with parts of the hiring process; final hiring decisions are made by humans. Employment offers are contingent on background checks and reference verification.

Requirements

At least 3 years of experience in technical architecture, administration, or development in Salesforce Marketing Cloud (SFMC).
Experience with SFMC areas such as Automation Studio, Journey Builder, Contact Builder, CloudPages, APIs, or Data Cloud/AI frameworks.
Extensive experience with advanced SQL, relational data modeling, complex joins, aggregation, and query tuning.
Strong knowledge of REST and SOAP APIs, JSON/XML, OAuth 2.0, webhooks, and Postman.
Skill in AMPscript, SSJS, or general-purpose languages such as JavaScript, Node.js, or Python applied to MarTech.
Practical understanding of how predictive, generative, and agentic AI can transform technical marketing.
Ability to analyze complex data models, integrate APIs, write clean code, and optimize high-throughput automation pipelines.
Genuine interest in marketing technology, AI-driven marketing innovations, robust data architecture, and technical problem-solving.

Nice To Haves

Interest in agentic AI, CDPs, event triggers, relational mapping, and automated personalization.
Platform-agnostic approach to using tools and AI models to address data and communication challenges.
Active interest in MarTech, CDPs, AI automation, and data engineering trends.
Enjoyment of debugging complex data issues, race conditions, integrations, and AI logic edge cases.

Responsibilities

Prepare, clean, structure, and model marketing data so Marketing Operations teams can run campaigns, segment audiences, and manage daily operations.
Build and optimize scalable relational database structures, data extensions, custom models, and subscriber key lifecycles.
Partner with the Data Team to create automated SQL queries and ETL pipelines that ingest and transform data warehouse datasets, such as Snowflake or BigQuery, into production-ready data extensions.
Maintain data hygiene, identity resolution, deduplication, and real-time ecosystem synchronization.
Write maintainable custom platform code, such as AMPscript, SSJS, and WSProxy, for personalization engines.
Develop dynamic rendering logic, interactive web forms, and secure landing pages.
Troubleshoot automation failures, script exceptions, and data bottlenecks.
Architect and maintain REST, SOAP, and webhook API integrations connecting product applications, mobile backends, and third-party systems to the marketing platform.
Configure native CRM and database connectors for low-latency, real-time bidirectional synchronization.
Manage API rate limits, payload efficiency, OAuth, and retry handlers.
Monitor runtimes, script performance, and query execution to support 99.9% uptime.
Lead security governance, permissions, business unit structuring, and privacy compliance, including GDPR, CCPA, and CAN-SPAM.
Partner with DevOps and IT Security on domain authentication and deliverability infrastructure.
Evaluate and master new marketing platforms and technical tools.