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Point Wild logo
Point Wild

Point Wild is a global leader in online protection, operating a portfolio of best-in-class device security, online privacy and identity theft protection brands. Serving consumers, partners and enterprises, Point Wild provides protection to more than 25 million users worldwide. To learn more, visit www.pointwild.com.

Data Architecture Lead

Business Development RepBusiness Development RepOtherRemoteTeam 105

Location

United States

Posted

93 days ago

Salary

0

No structured requirement data.

Job Description

Data Architecture Lead

Point Wild

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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.

Job Requirements

  • 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.

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