Senior Engineer – Ontology Platform

🕒 Setembro 23

🏖️ New Jersey, Massachusetts – Remoto

🏖️ New Jersey – Remote 🍂 Massachusetts – Remote

💵 $165.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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SS&C Technologies

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1986

💼 Consultoria

🛡️ Seguros

📦 Logística

Consulting • Insurance • Logistics

SS&C Technologies é líder global em tecnologia para serviços financeiros e saúde, reconhecida como a maior administradora independente de hedge funds e de private equity do mundo, além de a maior agente de transferência de fundos mútuos. A empresa oferece um portfólio abrangente de soluções, incluindo gestão de ativos, banking, saúde, seguros e wealth management, alavancando software proprietário e ampla expertise para atender às necessidades operacionais de clientes em diversos setores.

Descrição

• Join the Ontology Platform team and report to the Ontology Platform Lead • Steward the ontology model and translate business ontology definitions into concrete, implementable platform structures • Identify overlapping or conflicting definitions across business teams and help drive toward a shared, canonical view • Design and build rules and validation logic to detect discrepancies between source data and ontology expectations • Build and maintain reconciliation logic comparing source system data against the canonical ontology and surface exceptions for business-user triage • Maintain documentation of ontology structures, mapping conventions, and rule logic • Build and maintain ingestion connectors for new source systems • Contribute to platform services and APIs supporting mapping, configuration, and rules management • Leverage the foundational data platform's ingestion, storage, and compute capabilities • Use and champion an agentic SDLC approach with AI coding agents and related tooling • Design and maintain data models, schemas, and pipelines for ontology-mapped data • Build and optimize ETL/ELT transformations through cleansing, harmonization, and canonical mapping • Ensure data quality, lineage, and performance across the pipeline • Own end-to-end onboarding of new data sources and business use cases through production deployment • Support production operations, including monitoring, incident response, troubleshooting, and resolving data or pipeline issues • Build and maintain runbooks, dashboards, and operational documentation • Work directly with business users during onboarding to explain mapping results, breaks, and platform configuration tools

🎯 Requisitos

• 5-9 years of software/data engineering experience, including exposure to data modeling, data pipelines, and production support for a data platform or similar system • Comfortable working across the full lifecycle of a feature or capability, from design conversations with business stakeholders through implementation, deployment, and ongoing operational support • Solid data engineering fundamentals: SQL, ETL/ELT patterns, data modeling (relational and/or graph), and experience building or maintaining data pipelines at scale • Experience building integrations or connectors to external/source systems, including handling schema variation and data quality issues at the source • Ability to translate ambiguous business requirements or definitions into concrete technical structures and communicate clearly with business stakeholders and engineers • Experience with production operations: monitoring, incident response, and troubleshooting for data systems • Comfortable working on top of a shared foundational data platform and escalating capability gaps rather than building around them • Practical, hands-on experience using AI coding agents such as Claude Code, GitHub Copilot, or similar as a core part of the development workflow • Track record of using AI coding agents to meaningfully increase delivery speed and quality • Experience in or working with financial services data environments is a plus • Prior exposure to ontology, knowledge graph, or master data management concepts would be great • Experience with rules engines or validation/reconciliation frameworks would be great • Familiarity with graph databases or semantic web standards including RDF, OWL, and SPARQL would be great • Experience onboarding new data sources or users onto a platform as a repeatable, documented process would be great • Familiarity with Airflow, Spark, Kafka, Iceberg, Trino, or similar foundational data platform technologies would be great • Experience mentoring others on effective use of AI coding agents or agentic development workflows would be great

🏖️ Benefícios

• Medical, dental, and vision coverage • 401(k) plan with company match • Paid time off • Holidays • Parental leave • Professional development reimbursement opportunity • Potential annual discretionary bonus • Potential equity awards, such as restricted stock units or stock options