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AI Schema Registry Intelligence Developer

Grayson Martins

Full-time · Job · New_York

About the role

Schema registries store the structural contracts that define how data flows between producers and consumers. Most organizations have a registry. Very few have intelligence layered on top of it: the ability to detect when schemas are evolving toward incompatibility before the incompatibility is committed, suggest naming conventions that improve consistency, or identify when two schemas are describing the same underlying entity under different names. Our data platform serves 55 enterprise engineering teams with data mesh and integration infrastructure. Schema registry intelligence is the feature that transforms a passive storage layer into an active governance tool. You'll build it: ML models that detect compatibility risk in proposed schema changes, NLP approaches that identify semantically equivalent fields with different names across schemas, and automated suggestions that help producers design schemas that will age well. This is a mid-level engineering role with clear product scope. You'll collaborate with data governance product managers and the senior engineers who own the schema registry storage layer. Your output is a set of intelligent recommendations that show up in the schema review workflow before changes are committed.

Responsibilities

  • Build schema change compatibility risk detection identifying breaking changes before they are committed
  • Implement semantic field matching identifying equivalent fields with different naming conventions across schemas
  • Design naming convention suggestion system improving cross-schema consistency
  • Create schema evolution trend analysis flagging schemas that are diverging from compatibility standards
  • Build intelligence APIs integrating recommendations into the schema review workflow
  • Develop accuracy evaluation using historical compatibility failures as ground truth

Requirements

  • 3+ years in data engineering, API design, or data platform development
  • Experience with schema management, schema evolution, or API versioning
  • Strong Python skills with NLP or text similarity familiarity
  • Understanding of data serialization formats and schema compatibility rules
  • Ability to build APIs that integrate naturally into developer workflows

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 annual learning budget
  • 401(k) with match
  • Equity options

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Categories

NLP & Prompt Engineering Automation & AI Workflows

Skills

python fastapi docker sql spark

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

NLP & Prompt Engineering Automation & AI Workflows

Skills

python fastapi docker sql spark aws

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