Senior Platform Engineer - Big Data

Sr Cloud Engineer - IE07NE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a seasoned Senior Data Platform Engineer to join our Cloud Big Data Platform Engineering & Operations team. This role is instrumental in fostering a customer-first mindset and ensuring the stability, scalability, and reliability of our data platforms to support the evolving needs of Data & Analytics applications across the enterprise.

As a technical lead, you will apply your deep expertise in AWS Big Data/EMR infrastructure, Infrastructure as Code (IaC), security, automation, and observability to engineer, optimize, and maintain robust, scalable solutions. You will collaborate closely with data engineers to analyze requirements & challenges and recommend platform‑driven solutions that maximize performance and efficiency.

We’re looking for a passionate technologist who thrives in a dynamic, fast‑paced environment and is committed to building resilient, future‑ready data platforms. You will mentor and guide fellow platform and reliability engineers, promoting a culture of technical excellence, innovation, and collaboration.

• Administer and engineer Big Data platforms across multiple Hadoop clusters in the cloud (AWS EMR), including serverless and containerized environments, to ensure scalability, performance, and reliability.
• Design, implement and maintain highly scalable and resilient multi‑tenant Data Platforms through Infrastructure as Code (IaC) aligning with The Hartford’s engineering, security and governance principles.
• Ensure operational excellence, independently drive triaging and service restoration of all high‑impact incidents to minimize mean time to service restoration and impact to the business. Demonstrate end‑to‑end ownership.
• Apply Site Reliability Engineering (SRE) principles to design and implement robust tooling, proactive alerting, and automated response mechanisms that identify, mitigate, and resolve reliability risks – focusing on prevention, early detection, and continuous improvement through automation.
• Own and evolve the architecture of Platform, PaaS, and SaaS solutions to meet current and future business needs, driving innovation, scalability, and operational excellence.
• Participate in an on‑call rotation, providing hands‑on technical expertise during service‑impacting incidents to ensure rapid diagnosis, effective resolution, and continuous improvement of system reliability.
• Evaluate, implement, and manage emerging data technologies with a focus on big data, analytics, data wrangling, business intelligence, and data visualization to drive innovation and efficiency.
• Serve as a subject‑matter expert and technical lead for data platforms, tools, and application interfaces – driving root‑cause analysis, resolving complex technical issues, and ensuring platform reliability and performance.
• Provide technical leadership and mentorship to junior and mid‑level data engineers, fostering skill development and promoting engineering best practices.
• Collaborate with and empower data engineers, data scientists, and business analysts by enabling self‑service capabilities for data wrangling, exploration, and analysis.
• Develop training materials and deliver end‑user training sessions to drive adoption, ensure effective use of data solutions, and enhance customer engagement.
• Support the documentation, metadata management, and visualization of data assets to promote data discoverability, transparency, and self‑service analytics.
• Foster a culture of accountability and collaboration by building strong team commitment to shared priorities and strategic goals.

• Bachelor’s degree in computer science, computer engineering, or a closely related field (or foreign equivalent). Relevant experience may be obtained through a qualifying post‑baccalaureate academic program.
• Extensive expertise in platform administration, big data technologies, data engineering,…