Senior Data Platform Engineer

🕒 5 dias atrás

🏈 Alabama, Alaska, +44 estados a mais – Remoto

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 11%

O que significa: quão provável esta vaga está aberta sem contratação ativa.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, scale, and operate the enterprise data platform • Design and operate reusable batch and streaming processing frameworks on Airflow, Spark, and Flink • Own the Iceberg/Nessie/Trino/StarRocks data lakehouse layer, including governance, query performance, and storage lifecycle • Build and maintain Kafka streaming infrastructure, including topics, schemas, and connectors • Develop reusable ingestion, cleansing, and harmonization frameworks • Build platform UI components for platform state, catalogs, job status, and data quality visibility • Design APIs exposing ingestion, querying, catalog metadata, and job orchestration capabilities • Build MCP servers and interfaces for AI-agent access to platform data, catalogs, and lineage • Develop tooling and guardrails enabling AI agents to operate platform functions with human-in-the-loop controls • Partner with platform consumers, including the Ontology Platform team, on API and agentic access needs • Ensure scalability through capacity planning, performance tuning, and architectural evolution • Design resilience through fault tolerance, disaster recovery, data consistency, and graceful degradation • Build observability with metrics, logging, tracing, and alerting • Drive on-call and production support practices, runbooks, and incident response • Champion agentic software development using AI coding agents • Establish testing, CI/CD, infrastructure-as-code, and code and architecture review practices • Mentor engineers on platform internals and agentic development tooling

🎯 Requisitos

• 8-12 years of software/data engineering experience • Significant hands-on experience building or operating large-scale data platform infrastructure • Deep, hands-on experience with several of Apache Airflow, Apache Iceberg, Apache Spark, Apache Flink, Apache Kafka, Nessie, Trino, and StarRocks • Strong understanding of lakehouse architecture, table formats, catalog management, query engines, and batch/streaming trade-offs • Experience designing and building APIs with API governance, versioning, and security knowledge • Direct experience with, or strong interest and rapid aptitude for, building MCP servers or similar agent-facing interfaces • Practical, hands-on experience using AI coding agents such as Claude Code or GitHub Copilot as a core development workflow • Strong distributed systems, performance tuning, capacity planning, fault tolerance, and resilience fundamentals • Experience building and maintaining production observability with metrics, logging, and tracing • Ability to operate as an individual contributor with deep technical ownership and mentor others • Familiarity with UI/front-end development is a plus • Experience in financial services or another regulated, data-intensive industry is preferred • Contributions to open-source projects in the Airflow/Iceberg/Spark/Flink/Trino ecosystem are preferred

🏖️ Benefícios

• Medical, dental, and vision coverage • 401(k) plan with company match • Paid time off • Holidays • Parental leave • Professional development reimbursement opportunity