Solution Architect

Salary: USD
155000 - USD
170000 per year + bonus

Title: Solution Architect

Duration: Full-Time

Pay: $155K–$170K Base + 10% Annual Bonus

• 8+ years of experience in customer data, data engineering, or marketing technology environments
• At least 3+ years of experience in marketing technology architecture, including personalization and customer engagement platforms
• Strong experience with customer data domains including segmentation, identity resolution, and multi-channel activation
• Proven expertise with Customer Data Platforms (CDP), Customer Master Data, CRM/loyalty systems, and Customer 360 solutions
• Experience defining identity resolution strategies across first‑party, hybrid, and third‑party models
• Experience implementing data governance, privacy, and consent management frameworks
• Hands‑on experience designing personalization, ML decisioning, and engagement ecosystems
• Experience with marketing automation platforms (email, SMS, push, etc.)
• Background working across full Mar Tech and AdTech ecosystems including analytics and attribution
• Experience integrating CMS/DAM platforms into customer engagement ecosystems
• Exposure to retail media networks and first‑party data monetization strategies
• Experience evaluating vendors and making build vs buy decisions
• Experience working with large‑scale, high‑volume data ingestion systems (batch + streaming)
• Experience collaborating with data science teams to operationalize ML models
• Exposure to AI/GenAI in marketing or engineering environments is a plus

• Proficiency with Mar Tech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, Hub Spot, Google Analytics, or similar
• Strong experience with CDPs, customer data warehouses, and customer 360 platforms
• Deep understanding of identity resolution and data matching strategies
• Experience with marketing platforms including CRM, CMS/DAM, personalization, and decisioning engines
• Knowledge of paid media, attribution frameworks, and audience activation
• Experience working in cloud environments (GCP preferred; AWS/Azure acceptable)
• Strong understanding of APIs, microservices, and event‑driven architectures
• Experience with data lakes, warehouses, and modern data platform architectures
• Strong knowledge of data governance, consent management, and data lineage
• Ability to drive architecture strategy including scalability and cost optimization
• Familiarity with Dev Ops, AIOps, and automation frameworks
• Excellent communication and ability to translate technical concepts to business stakeholders

• Define and deliver architecture solutions across customer data platforms, marketing automation, personalization, and analytics ecosystems
• Establish target‑state architecture across CDP, data warehouse, and customer master systems
• Ensure seamless integration across Mar Tech, AdTech, CMS/DAM, and analytics platforms
• Define and govern identity resolution strategies and enterprise customer data frameworks
• Design and support real‑time and batch personalization and decisioning systems
• Develop standards for data flows, customer data governance, and content integration
• Enable first‑party data activation across paid media and monetization channels
• Evaluate vendors and platforms, drive architecture decisions, and optimize costs
• Stay current on emerging trends in Mar Tech, AdTech, and AI
• Ensure solutions align with scalability, security, and compliance standards
• Collaborate with marketing, IT, product, and data teams to deliver enterprise solutions
• Provide overarching governance and architectural leadership

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
• 8+ years of relevant experience in data, Mar Tech, or architecture roles
• Proven track record delivering large‑scale customer data or marketing technology initiatives
• Experience working in enterprise or multi‑site environments
• Strong stakeholder communication and leadership skills
• Full‑time onsite role based in Katy, TX
• Enterprise environment with cross‑functional teams
• Focus on architecture strategy, governance, and large‑scale implementation oversight