Senior Data Platform Engineer

🔥 5 minutes ago

🏈 Alabama, Alaska, +44 more states – Remote

🏈 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

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SS&C Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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