Senior Platform Engineer - Cloud Data & AI Leadership

The Hartford

Hartford (CT)

On-site

USD 137,000 - 206,000

Full time

4 days ago

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Job summary

The Hartford’s Data Analytics and AI Office (DAIO) and Data Platform Services (DPS) team seeks a Senior Staff Platform Engineer to advance cloud data platform capabilities and improve adoption and user experience for analytics users. This role emphasizes hands-on IaC, cloud technologies, and strategic architecture leadership across the organization.

The ideal candidate has 6+ years in cloud/platform roles, strong problem-solving, and the ability to translate trends into actionable capabilities

Qualifications

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field, or equivalent experience
At least 6+ years of solid, diverse work 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 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 in building applications/platforms using agile scrum methodologies
Strong analytical ability, problem analysis techniques, and broad knowledge of technology alternatives
Strong communication skills, and the ability to work effectively with business and IT partners

Responsibilities

Analyze industry trends in cloud computing and data platform technologies
Collaborate with architects to advance DAO technical capabilities across the organization
Design and engineer target state platform architectures with reusability in mind
Define strategy and roadmaps to guide transformation efforts
Create architecture patterns for Cloud Data ecosystems (AWS, PySpark, Snowflake, Tableau, ThoughtSpot)
Collaborate with internal customers to evaluate needs and provide architectural guidance for analytics solutions
Build relationships with internal customers to identify platform and technical needs supporting a business roadmap
Drive product evaluations, define scoring criteria, and provide technical recommendations
Hands-on role building IaC and Cloud platforms to support POCs of new technologies
Incorporate DevOps/DataOps practices to drive automation
Drive technical roadshows to improve adoption of services