Skip to main content

Solutions Architect

arm treasure dataBrooklyn, NYLead L6
Overview: As a Solution Architect at Treasure AI, you will lead the design, deployment, and scaling of enterprise data solutions that power AI-driven personalization. You’ll translate complex business needs into scalable architectures and guide cross-functional teams to implement data pipelines, governance, and integrations. You will work closely with clients to ensure successful adoption of Treasure AI’s platform while exploring innovations in AI and agent technologies. This role offers impact through shaping data architectures and enabling enterprise-grade customer experiences. Compensation / Benefits Comprehensive medical, dental, vision plans Employee Assistance Program (EAP) Competitive compensation packages Company paid life insurance 3x salary Company paid short- and long-term disability Retirement planning (401K) with 4% company match
Responsibilities: Lead technical discovery and architecture design sessions with enterprise customers Translate business requirements into scalable architectures, integration flows, and implementation plans Oversee hands-on configurations, data pipeline development, and use of Treasure AI tools (CDP, Data Workflows, Connectors, APIs) Advise on data ingestion, transformation, governance, security, and scalability Architect and deploy AI/ML-driven use cases like segmentation, predictions, journey orchestration, and personalization Act as technical liaison to client architects, IT, and business teams across martech/adtech and cloud ecosystems Collaborate with Engagement Managers, Solutions Consultants, and Data Engineers to ensure successful go-lives Troubleshoot complex data integration issues and optimize performance Guide junior staff and contribute to knowledge-sharing and enablement Capture customer feedback to influence product roadmap and technical playbooks Stay current on data architecture and AI/agent technologies and drive innovation Help drive the adoption and value realization of Treasure AI’s platform
Key requirements: 5+ years in architecting and implementing large-scale data solutions (SaaS, martech/adtech, CDP, or enterprise cloud) Proven track record with complex data architectures (integrations, ETL/ELT, APIs, workflow automation) Hands-on data engineering skills (SQL, Python, JavaScript) and cloud platforms (AWS, GCP, Azure) Strong understanding of customer data models, privacy/compliance (GDPR/CCPA), and identity resolution Experience with enterprise use cases for segmentation, analytics, personalization, activation, omnichannel orchestration Ability to communicate complex concepts to diverse audiences (engineers, business users, executives) Experience with cross-functional teams involving engagement managers, engineers, QA, and stakeholders Consultative, proactive problem-solving mindset and collaboration skills AI and agent-driven use cases piloted and scaled in customer environments Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience communication problem-solving collaboration SQL Python JavaScript
APPLY NOW (opens in a new tab)

Matching similar jobs

Level

Lead L6

Location

Brooklyn, NY

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

today

APPLY NOW (opens in a new tab)