Software Engineer - Data Ontology & AI Pipelines

Reltio

Tampa (FL)

On-site

USD 100,000 - 150,000

Full time

3 days ago
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Job summary

Reltio is seeking a senior backend engineer to own and scale the metadata ingestion and generation pipeline. You will build end-to-end data workflows, integrate LLM-powered enrichment, and connect physical data to business terms within the Reltio Data Cloud.

You will collaborate with product and data stewards to deliver a dependable, scalable graph-based data platform. The role emphasizes reliability, governance, and seamless platform integration with AgentFlow, enabling materialized insights

Qualifications

  • Experience designing and building scalable backend services.
  • Experience with data pipelines, ingestion, and generation.
  • Familiarity with LLM-driven enrichment and mapping.

Responsibilities

  • Design, build, and own backend services that run the metadata ingestion-and-generation pipeline at scale.
  • Own the pipeline stages end to end—discovery, transform, load, and generation—and recovery on failure.
  • Define clear service boundaries and APIs to keep the system modular as capabilities grow.
  • Implement source adapters against common interfaces, starting with Databricks and Snowflake.
  • Extract and normalize catalogs, tables, columns, data types, lineage, and usage stats.
  • Build the LLM integration layer: prompt construction, parsing, and cost management.
  • Route AI-generated proposals through human review to ensure trust and safety.

Skills

Backend engineering
Distributed systems
LLM integration
API design

Tools

Databricks
Snowflake

Job description

Reltio is seeking a senior backend engineer to own and scale the metadata ingestion and generation pipeline. You will build end-to-end data workflows, integrate LLM-powered enrichment, and connect physical data to business terms within the Reltio Data Cloud.

You will collaborate with product and data stewards to deliver a dependable, scalable graph-based data platform. The role emphasizes reliability, governance, and seamless platform integration with AgentFlow, enabling materialized insights

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