Associate Software Engineer US

At Reltio we believe data should fuel business success. Reltios AI-powered data unification and management capabilitiesencompassing entity resolution multi-domain master data management (MDM) and data productstransform siloed data from disparate sources into unified trusted and interoperable data. Reltio Data Cloud delivers interoperable data where and when its needed empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brandsacross multiple industries around the globerely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency manage risk and drive growth.

At Reltio our values guide everything we do. With an unyielding commitment to prioritizing our Customer First we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It. Every day we innovate and evolve so that today is Always Better Than Yesterday. If you share and embody these values we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If youre ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data lets talk!

Job overview

Were building Business Ontology a new capability built on top of the Reltio Data Cloud platform and Reltio AgentFlow. Reltio provides the trusted governed data foundationentities relationships and a real-time data graph and AgentFlow provides the agentic AI layer that acts on that data. Business Ontology extends both: it captures the meaning of enterprise data (domains business terms and their relationships) and connects that meaning to the physical data assets across source systems so the ontology becomes the governed explainable context that grounds search analytics and AI agents. Youll do core engineering on the pipeline behind this importing metadata from source systems using LLMs to enrich and map it forming a semantic graph that links physical data to business definitions and integrating it all with the Reltio platform.

Skill required:

Pipeline & services

• Design build and own backend services that run the metadata ingestion-and-generation pipeline reliably and at scale.

• Own the pipeline stages end to end discovery transform load and generation including how theyre sequenced orchestrated and recovered on failure.

• Define clear service boundaries and APIs so the system stays modular as new capabilities are added.

Source integration

• Implement source adapters against a common interface connect discover metadata and stream records beginning with platforms such as Databricks and Snowflake and extending to additional sources over time.

• Extract and normalize the full picture from each source: catalogs tables columns data types keys lineage and usage statistics.

• Keep adapters resilient to source-specific quirks large schemas and incremental Re-runs.

LLM-driven enrichment & mapping

• Build the LLM integration layer: prompt construction structured-output parsing schema validation retries and token / cost management.

• Implement enrichment that turns cryptic technical metadata into clearbusiness-readable descriptions and labels.

• Implement mapping logic that connects physical columns to business terms with confidence scoring and supporting evidence captured for every proposal.

Semantic graph formation

• Build the logic that links physical data assets to business definitions deterministic connections derived from ground-truth metadata and AI-proposed connections that

require review.

• Route AI-generated proposals through a human-approval step so trusted facts and machine suggestions are treated differently by design.

• Ensure the resulting graph is consistent traceable and safe to rebuild as sources Change.

Platform integration (Reltio & AgentFlow)

• Integrate with the Reltio platform to write entities relationships and graph structureswith idempotent re-runnable loads.

• Apply the platforms governance provenance and survivorship model so human-curated meaning always takes precedence over machine-generated suggestions.

• Support the consumption path graph traversal and the interfaces that let AgentFlow agents resolve and query the ontology to answer business questions.

Reliability quality & collaboration

• Make the pipeline observable and resilient job orchestration state tracking artifact storage and resume-on-failure.

• Establish engineering quality through testing validation checks monitoring and sensible error handling across the pipeline.

• Partner closely with product ontology modelers and data stewards to turn the design into a shippable maintainable service and help shape technical direction as the capability grows.

Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.