Senior Engineering Manager, Ontology Platform

🕒 Setembro 23

🏖️ New Jersey, Massachusetts – Remoto

🏖️ New Jersey – Remote 🍂 Massachusetts – Remote

💵 $185.000 - $195.000 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 6%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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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

• Build, lead, and grow an initial team of 5-6 engineers • Hire, manage performance, support career development, and provide day-to-day people leadership • Set team structure, priorities, and delivery roadmap with product and business stakeholders • Establish engineering culture and practices, including code reviews, on-call rotation, delivery cadence, and technical documentation • Remain hands-on in architecture, code reviews, and implementation of critical components • Represent the team and platform roadmap to senior stakeholders • Set and model agentic SDLC adoption using AI coding agents • Own architecture for services, APIs, and data pipelines ingesting source-system data and applying ontology mappings • Make technical decisions on graph databases, relational stores, schema/graph modeling, indexing, and performance • Guide configuration tools for mappings, rules, and exception handling • Ensure production-quality ingestion connectors, transformation logic, validation engines, and break-detection pipelines • Establish version control, automated testing, CI/CD, and observability practices • Design extensible configuration and integration points for new systems, domains, and rules • Define and evolve the enterprise ontology and translate it into schemas, graph structures, or data contracts • Lead source-to-ontology mappings and reconciliation of differing system definitions • Direct rules and validation frameworks for detecting, triaging, and resolving data breaks • Leverage and extend the foundational enterprise data platform • Partner with the data platform team on capability gaps, shared roadmaps, and design decisions • Translate business, regulatory, governance, and compliance requirements into engineering and product decisions • Manage technical debt and platform evolution

🎯 Requisitos

• 8-12 years of software/data engineering experience, including designing and building production-grade platforms or services • Prior experience as an Engineering Manager or equivalent, with direct people-management responsibility for engineers • Proficiency in at least one modern backend language, such as Python, Java, Scala, or Go • Experience with API design, service architecture, and testable, maintainable production code • Experience designing and implementing data modeling/mapping frameworks • Practical experience with graph databases and/or semantic web standards such as RDF, OWL, and SPARQL, or equivalent alternative modeling technologies • Experience building configurable, multi-tenant-style platforms or internal products • Solid database and data engineering skills across relational and non-relational systems • Experience with data pipelines, ETL/ELT, and large-scale heterogeneous data sources • Experience with CI/CD, automated testing, infrastructure-as-code, and observability/monitoring • Experience building on top of a shared/foundational enterprise data platform • Strong communication skills with business, compliance, and senior stakeholders • Practical hands-on experience using AI coding agents such as Claude Code or GitHub Copilot as a core development workflow • Experience in financial services data environments is a plus • Experience with enterprise ontology, knowledge graph, or MDM platforms is desirable • Experience growing a small engineering team is desirable • Experience with cloud-native architectures and data platforms is desirable • Familiarity with data governance and metadata management tooling is desirable • Background in financial services, asset management, or another regulated, data-intensive industry is desirable

🏖️ Benefícios

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

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