This role pays less than
68%
of similar roles. Most pay
$157,000–$238,362
— the shaded band above.
At the midpoint, this role pays about
$172k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About The Hartford
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has
36 open roles
on FindRole.
Listed pay typically runs
$127,600–$191,400
across 32 roles with salary data.
The Senior Staff Platform Engineer joins the Data Platform Services team within the Data Analytics and AI Office. This technical leadership role involves analyzing cloud computing trends, designing reusable target state architectures, and defining roadmaps for transformation efforts. The engineer will collaborate with internal customers to provide architectural guidance for batch/streaming integration, data structuring for analytics, cloud migrations, and AI support. Day-to-day responsibilities include performing hands-on work building Infrastructure as Code and cloud platforms for new technology proofs of concept while incorporating DevOps and DataOps practices to drive hyper-automation. The role requires expertise in AWS, GCP, PySpark, Snowflake, Tableau, ThoughtSpot, and data integration tools like Informatica or Talend. The position focuses on solving complex problems within the cloud data ecosystem by improving platform adoption and user experience for internal data and analytics users.
What does a Platform Engineer earn?
Median $145000 from 35 postings across 22 companies.
Analyze cloud computing and data platform trends to translate them into actionable technical capabilities.
Design and engineer reusable target state architectures for the company's cloud data ecosystem.
Define strategic roadmaps and architecture patterns for technologies including AWS, PySpark, Snowflake, and Tableau.
Provide architectural guidance to internal customers regarding batch/streaming integration, ELT, and AI support.
Conduct hands-on product evaluations and build Infrastructure as Code (IaC) for new technology proofs of concept.
Integrate DevOps and DataOps practices into solutions to increase automation across the platform.
Host technical roadshows to improve user adoption of internal services and platforms.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
At least 6 years of experience in cloud computing, data delivery applications, analytics, or an equivalent combination of education and work experience.
At least 3 years of experience providing architectural guidance and technical direction to developers or platform administrators.
At least 2 years of experience (or equivalent training/certification) in designing and implementing solutions in AWS and GCP Services.
Ability to learn new technologies quickly and perform major job responsibilities proficiently within 6-12 months.
Experience building applications and platforms using agile scrum methodologies.
Strong analytical ability, problem analysis techniques, and broad knowledge of technology alternatives.
Experience with data integration tools, data platforms, or data management (preferred).