Solution Architect

Title: Solution Architect

Duration: Full-Time

Location: Katy, TX

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

Work model: On-site

Work Experience:

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 MarTech 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

Skills:

Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, 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 DevOps, AIOps, and automation frameworks

Excellent communication and ability to translate technical concepts to business stakeholders

Responsibilities:

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 MarTech, 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 MarTech, 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

Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred)

8+ years of r

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.