CTO/Senior Architect
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.
What You’ll Own
Platform Architecture & Decisions
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Define and validate the technical blueprint across cloud data warehouse, clean room infrastructure, embedding compute, and privacy controls
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Own the data modeling strategy for large-scale behavioral signals across multiple data sources and device types
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Design the embeddings architecture and feature store supporting advertising, commerce, and AI use cases
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Guide clean room design and ensure compliance with applicable privacy frameworks
Technical Leadership & Unblocking
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Identify and resolve critical path blockers across infrastructure, integrations, and identity resolution
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Pressure-test technical proposals against real-world scale and operational complexity
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Bridge between Blend’s engineering and data science teams and the client’s senior technical stakeholders
Executive Presence & GTM Alignment
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Participate in regular leadership touchpoints with the client’s commercial and product leadership
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Translate technical capabilities into commercially relevant differentiation
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Ensure the technical roadmap aligns with go-to-market milestones
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Serve as a credible technical voice in early client and partner conversations
Who You Are:
Technical Depth
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Enterprise data platforms (Snowflake, AWS, or equivalent)
- Real-time and batch data architecture
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ML/AI systems and embeddings infrastructure
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Data privacy frameworks and compliance-by-design approaches
- Clean rooms, DSPs, and SSPs
Executive Presence & Communication
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You’ve worked directly with CTO-level stakeholders — not through layers
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You move comfortably between technical depth and business context
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You articulate architectural tradeoffs clearly and in terms of business impact
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You’re comfortable in high-stakes client or investor settings
Problem-Solving Orientation
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You ask hard questions about scale, cost, compliance, and risk before committing to approaches
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You hold opinions but update them when presented with better information
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You see your role as unblocking the team, not bottlenecking it
Collaborative Mindset
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You’ve worked in embedded delivery or partner roles
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You don’t need to own everything to drive impact
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You value getting to the right answer over being the one with the answer
Required
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10+ years in data or platform architecture, with at least 3 years on systems at significant scale
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Deep experience with Snowflake, Redshift, BigQuery, or a comparable enterprise data platform
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Demonstrated ability to lead technical strategy in high-stakes client or executive contexts
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Experience designing for privacy, compliance, or security constraints
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Background in consulting delivery or embedded partner roles
Nice to Have
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Clean room or federated data architecture experience
- Embeddings or feature store work
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Identity resolution or data monetization projects
- AWS or cloud infrastructure design
- DSP or SSP experience
Less Important
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Familiarity with every tool on the stack (you’ll learn what you need)
- Specific certifications or credentials
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Individual contributo