CTO/Senior Architect

Responsibilities

• Platform Architecture & Decisions
• Define and validate the technical blueprint across cloud data warehouse, clean room infrastructure, embedding compute, and privacy controls
• Own the data modeling strategy for large-scale behavioral signals across multiple data sources and device types
• Design the embeddings architecture and feature store supporting advertising, commerce, and AI use cases
• Guide clean room design and ensure compliance with applicable privacy frameworks
• Technical Leadership & Unblocking
• Identify and resolve critical path blockers across infrastructure, integrations, and identity resolution
• Pressure-test technical proposals against real-world scale and operational complexity
• Bridge between Blend's engineering and data science teams and the client's senior technical stakeholders
• Executive Presence & GTM Alignment
• Participate in regular leadership touchpoints with the client's commercial and product leadership
• Translate technical capabilities into commercially relevant differentiation
• Ensure the technical roadmap aligns with go-to-market milestones
• Serve as a credible technical voice in early client and partner conversations

Requirements

• Technical Depth
• Enterprise data platforms (Snowflake, AWS, or equivalent)
• Real-time and batch data architecture
• ML/AI systems and embeddings infrastructure
• Data privacy frameworks and compliance-by-design approaches
• Clean rooms, DSPs, and SSPs
• Executive Presence & Communication
• You've worked directly with CTO-level stakeholders - not through layers
• You move comfortably between technical depth and business context
• You articulate architectural tradeoffs clearly and in terms of business impact
• You're comfortable in high-stakes client or investor settings
• Problem-Solving Orientation
• You ask hard questions about scale, cost, compliance, and risk before committing to approaches
• You hold opinions but update them when presented with better information
• You see your role as unblocking the team, not bottlenecking it
• Collaborative Mindset
• You've worked in embedded delivery or partner roles
• You don't need to own everything to drive impact
• You value getting to the right answer over being the one with the answer
• Required
• 10+ years in data or platform architecture, with at least 3 years on systems at significant scale
• Deep experience with Snowflake, Redshift, BigQuery, or a comparable enterprise data platform
• Demonstrated ability to lead technical strategy in high-stakes client or executive contexts
• Experience designing for privacy, compliance, or security constraints
• Background in consulting delivery or embedded partner roles
• Clean room or federated data architecture experience
• Embeddings or feature store work
• Identity resolution or data monetization projects
• AWS or cloud infrastructure design
• DSP or SSP experience
• Less Important
• Familiarity with every tool on the stack (you'll learn what you need)
• Specific certifications or credentials
• Individual contributor "rock star" energy - we care about collaborative problem-solving

Benefits

Additional Information

You're joining a strategic initiative to help a major media and technology company build a new behavioral intelligence platform from the ground up. This is an embedded consulting role, not a traditional engagement. You'll be shaping the technical foundation of a commercial unit that leverages large-scale behavioral data through AI and advanced data architecture. Your role is to serve as the technical authority - making platform decisions, representing them to client stakeholders, and guiding the team through the complexity of data architecture, privacy-preserving systems, and multi-tenant infrastructure design. You'll report to Blend's Chief Solutions Officer while working directly within the delivery team, with regular visibility to the client's executive leadership.

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