Technical Staff Member, Data Systems

Build the data plane for scientific results at scale, including content addressing, write-time lineage, and rights metadata Scale catalogs and query paths for billion-object corpora Own transactional databases, analytical query paths, filesystems, schema evolution, and database-engine selection Own ingestion and shared access for scientific corpora and public data feeds Model and manage replicate-versus-fetch economics across storage tiers and clouds Build versioned, rights-tracked, lineaged training sets, evaluation corpora, and captured traces for AI Design systems so results remain traceable and reproducible Take ownership from specification through deployment and on-call Requirements Five or more years building data infrastructure in production at companies known for engineering rigor Broad data-infrastructure experience across databases, storage systems, filesystems, catalogs, and data platforms Experience scaling systems and owning platforms rather than only authoring pipelines or administering systems Understanding of immutable content, versioned names, provenance, rights enforcement, and retention in data paths Experience diagnosing catalog, namespace, or metadata-service failures before underlying storage failures Ability to produce replicate-versus-fetch break-even analyses and defend storage-tiering and placement policies in dollar terms Content-addressed storage, data versioning, or lineage systems in production preferred GPU-scale checkpointing experience preferred Distributed-systems experience with schedulers, workflow engines, or high-volume services preferred Scientific or research-data experience preferred Experience with table formats, catalogs at scale, and multi-cloud data placement preferred Ability to work in or relocate to the Boston-based role; remote consideration is case-by-case Must address United States work-authorization/sponsorship requirements Core Competencies Demonstrates extensive experience in building and managing data infrastructure, including ownership of transactional databases and analytical query paths. Proficient in scaling systems, ensuring traceability and reproducibility of scientific results, and conducting economic analyses for data storage strategies. Highest-signal resume keywords Data Infrastructure Development Transactional Database Management Content-Addressed Storage Distributed Systems Experience Scientific Data Management ATS Optimization Keywords Hard Skills Data Versioning Schema Evolution Metadata Management Catalog Scaling Data Path Economics Provenance Tracking Lineage Systems High-Volume Services Checkpointing Data Platform Ownership Industry Keywords Scientific Data Research Data Data Storage Systems Immutable Content Rights Enforcement Tools & Technologies Workflow Engines Schedulers Multi-Cloud Data Placement Filesystems Analytical Query Paths #J-18808-Ljbffr Jobtailor