Data Architecture Lead jobs in United States
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Point Wild (Formerly Pango Group) · 1 day ago

Data Architecture Lead

Point Wild is dedicated to creating a comprehensive portfolio of cybersecurity solutions. They are seeking a Lead Data Architect to own the technical vision and design for their next-generation platform, focusing on data architecture and multi-cloud environments.

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H1B Sponsor Likelynote

Responsibilities

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. This includes architecting our core data pipeline and ingestion services and the data storage components for our tools catalog, large-scale analytical data stores and multi-cloud storage solutions
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

Qualification

Data ArchitectureAI/ML Data EnablementMulti-Cloud DeploymentsData Pipeline ToolsData Quality GovernanceBusiness AcumenTechnical Leadership

Required

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 organizations (e.g., enterprise, B2B SaaS, large-scale technology, or high-growth 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

Company

Point Wild (Formerly Pango Group)

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Point Wild delivers best-in-class data breach resilience, response, and remediation for consumer and enterprise endpoints.

H1B Sponsorship

Point Wild (Formerly Pango Group) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (5)
2023 (1)
2022 (3)
2021 (2)
2020 (2)

Funding

Current Stage
Growth Stage
Total Funding
$150M
2025-12-08Series Unknown· $150M
Company data provided by crunchbase