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Senior, highly specialized data-platform role at a lesser-known remote startup reduces applicant density.
Highly domain-specific data-platform, multi-tenancy, and multimodal integration skills limit cross-industry transferability.
Explicit 10+ years plus many mandatory platform, cloud, governance, and tooling requirements increases hiring rigidity.
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Architect and build Gather AI's greenfield multi-layer data warehouse foundation separating analytical from live production workloads.
Develop a governed, self-service semantic and metrics layer ensuring consistent business metrics across all dashboards and products with 99%+ availability and 100% traceability.
Collaborate across engineering, product, ML, and leadership to integrate structured data with unstructured drone imagery and extend the platform for multiple products and tenants (~300+).
10+ years data engineering experience; at least 3 years architecting data platforms for analytics or AI.
Proven track record building greenfield data warehouses and leading OLTP to OLAP transitions.
Expertise in multi-layer data transformation architectures, SQL, dbt, ELT, orchestration, and cloud data engineering (Azure preferred).
Experience with data quality, governance, security, multi-tenancy, pipeline orchestration, and cloud-native infrastructure automation.
Experienced principal-level individual contributor comfortable making architectural decisions with incomplete consensus.
Strong cross-functional collaborator interfacing with backend, ML, product, and analytics teams to align platform capabilities with business needs.
Proficient in integrating structured and unstructured data (e.g., drone imagery) within scalable, secure, multi-tenant data platforms for advanced AI-driven products.