Lead Data Architect / Acting Product Owner

Point Wild-posted 4 months ago
Full-time • Senior
101-250 employees
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Point Wild is building Lat 61, a next-generation platform designed to rapidly ingest, normalize, and enrich diverse data sources, powering AI agents, analytics, and decision-making systems. To accelerate this effort, we are seeking a Lead Data Architect / Acting Product Owner who will own the technical vision, high-level design, and functional roadmap for the platform. This role blends deep technical leadership with strategic product ownership. You will define the data architecture, ensure it scales across multi-cloud environments, and translate business priorities into a clear technical roadmap. You’ll lead design sessions, make trade-offs under tight timelines, and partner closely with engineering, AI/ML teams, and business stakeholders.

  • Own the Data Architecture: Define and evolve the end-to-end technical architecture of the Lat 61 platform, ensuring scalability, interoperability, and performance.
  • Platform Product Ownership: Act as the functional product owner, 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 (Parquet, Delta), and APIs for data access.
  • AI/ML Data Enablement: Design infrastructure to support advanced AI/ML workflows, including vector databases, graph stores, and retrieval-augmented generation (RAG).
  • 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.
  • 8+ years experience as a data architect in B2B SaaS organizations.
  • Experience serving as a product owner or technical lead, balancing competing priorities to deliver high-impact MVPs.
  • Proven track record designing and delivering scalable, enterprise-grade data architectures.
  • Deep expertise in lakehouse architectures, open data formats (Parquet, Delta), and large-scale data pipelines.
  • Strong experience with multi-cloud deployments, hybrid data environments, and interoperability.
  • Demonstrated understanding of AI/ML data needs, including vector databases, graph stores, and RAG frameworks.
  • Strong business acumen, with the ability to align technical vision with organizational strategy.
  • Solve real customer problems.
  • See your impact.
  • Accelerate your career.
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