SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Senior Engineer, Ontology Platform
About the Team:
We are seeking a Senior Engineer to join the Ontology Platform team, reporting to the Ontology Platform Lead, and covering the full engineering lifecycle of the ontology platform: from stewarding the ontology model and building reconciliation/rules logic, through connector and platform engineering, data and warehouse work, and production operations. This is a hands-on, individual-contributor role for someone who wants broad ownership across the platform rather than a narrowly scoped specialization: unlike a large infrastructure team where roles split cleanly into specialization tracks, this team is small (5-6 engineers), so each engineer is expected to flex across ontology stewardship, rules engineering, connector/platform work, data engineering, and operations as priorities shift.
The ontology platform is built on top of the enterprise's foundational data platform (Airflow, Iceberg, Spark, Flink, Kafka, Nessie, Trino, StarRocks), so you will leverage that infrastructure rather than rebuilding it. Your focus is the layer above it: translating business ontology definitions into concrete structures, building the connectors and mapping/rules logic that bring source systems onto the platform, maintaining the ontology-specific data model and pipelines, and operating the platform in production, including onboarding new sources and supporting business users day to day.
Day to Day:
Ontology Stewardship & Rules Engineering
Partner with business stakeholders to translate their ontology definitions (entities, relationships, attributes) into concrete, implementable structures within the platform, without redefining what the business itself owns.
Act as a steward of ontology consistency: identify overlapping or conflicting definitions across business teams and help drive toward a shared, canonical view.
Design and build the rules and validation logic that detects breaks (discrepancies between source data and ontology expectations), and continuously improve rule coverage and precision as new sources and use cases are onboarded.
Build and maintain reconciliation logic that compares source system data against the canonical ontology and surfaces exceptions in a way business users can triage.
Maintain clear documentation of ontology structures, mapping conventions, and rule logic so the model stays understandable as it grows.
Connector & Platform Engineering
Build and maintain ingestion connectors that bring new source systems onto the ontology platform, working within the frameworks and patterns established by the Engineering Lead.
Contribute to core platform services and APIs that support mapping, configuration, and rules management, so business users can define and adjust behavior without engineering intervention per source.
Leverage the foundational data platform's ingestion, storage, and compute capabilities rather than duplicating them; escalate capability gaps to the Engineering Lead rather than building bespoke infrastructure workarounds.
Adopt and champion an agentic SDLC approach, using AI coding agents and related tooling as a core part of your own development workflow to substantially multiply engineering throughput across connector development, rules/reconciliation logic, and pipeline maintenance, targeting materially higher output than traditional development approaches, not incremental gains.
Data & Warehouse Engineering
Design and maintain the data models, schemas, and pipelines that store and serve ontology-mapped…