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Role Description

Point Wild is building Lat 61, a next-generation platform designed to rapidly ingest, normalize, and enrich diverse data sources, powering AI agents, model inference stack, analytics, and decision-making systems. To accelerate this effort, we are seeking a Lead Data Architect who will own the technical vision, high-level design, and functional roadmap for the platform's data and foundational layers.

• Own the Data Architecture: Define and evolve the end-to-end technical architecture of the Lat 61 platform, ensuring scalability, interoperability, and performance.
• Platform Ownership: Act as the functional owner for the data and foundational platform, translating strategic goals into platform capabilities, MVP scope, and technical priorities.
• Data Platform Design: Build and maintain multi-modal data strategies, incorporating lakehouse patterns, open data formats, and APIs for data access.
• AI/ML Data Enablement: Partner with AI/ML teams to design the scalable infrastructure they require to support advanced AI/ML workflows, including vector databases, graph stores, and retrieval-augmented generation (RAG) frameworks.
• Architect Foundational Services: Lead the design of the platform's foundational data services layer that powers critical components of the AI platform such as workflow orchestration, configuration management, cost metering, telemetry, and authentication/authorization components.
• Multi-Cloud Leadership: Guide deployment across AWS, Azure, and GCP, ensuring portability, resilience, and compliance.
• Stakeholder Alignment: Partner with business leaders to balance innovation with near-term deliverables; lead design sessions and communicate trade-offs clearly.
• Governance & Standards: Establish best practices for data quality, security, lineage, and lifecycle management.

Qualifications

• 8+ years of experience as a data architect, including a minimum of 3+ years designing, building, and scaling data platforms to support AI/ML, and product engineering teams in complex, product-driven B2B SaaS organizations.
• 2+ years of experience as a data architect in high-growth SaaS startups.
• Deep, hands-on expertise in architecting data solutions for AI systems, including designing the data infrastructure for retrieval-augmented generation (RAG) frameworks, vector databases, and graph stores.
• Strong experience with multi-cloud deployments, hybrid data environments, and interoperability.
• Expertise with common data pipeline tools such as Dagster, Apache Spark, Airflow.
• Direct experience designing the data architecture to support high-performance model serving (e.g., low-latency caching) and complex, stateful AI agent automations (e.g., data-driven workflow orchestration).
• Strong business acumen, with the ability to align technical vision with organizational strategy.
• Experience serving as a technical lead, balancing competing priorities to deliver high-impact MVPs.

Benefits

• Solve real customer problems: Point Wild’s point solutions allow consumers to address their immediate cyber protection needs.
• See your impact: We are a scrappy, nimble organization where individual contributions are needed and valued.
• Accelerate your career: As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
• Work with talented people: Join a company where people matter and make a significant impact.