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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hartford's Data Analytics and AI Office - **Company:** The Hartford - **Location:** Hartford, WI, United States - **Experience:** Expert - **Salary:** $137,200.0 - $205,800.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing, Cloud Database, Cloud Engineering, Computer Engineering, Data Infrastructure, Data Integration, Data Security, DevOps, Design of User Interfaces, Human-Computer Interaction, Oracle (Applications), Scrum Methodology, DataOps, Software Engineering, Data Streaming, Tableau (Software), Talend, Technical Data Management Systems, Google Cloud, Snowflake, Software Application Programming, Amazon Relational Database Service, Pyspark, Information Technology, Star Schema, Data Management, Cloud Migration, Data Delivery - **Published:** September 28, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-staff-platform-engineer-hartford-ct--8f297706-d203-4273-9eea-219eff00837a ## About the Role You should be passionate for innovating with new cloud and data platform technologies, designing physical architectures and engineering platform solutions with an emphasis on improving adoption and user experience. This position requires 6+ years of relevant industry, cloud and/or platform experience., * Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field, or equivalent experience * At least 6 or more 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 (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 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 Preferred * Experience (or equivalent training/certification) in designing and/or implementing data delivery solutions using Data Integration Tools (Informatica, Talend etc.) and/or Data Platforms (Oracle, Snowflake, S3, RDS etc.) or Data Management (Cataloging, Lineage, Quality, MDM etc.) Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position., Adoption, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Architectural Design, Architectural Services, Artificial Intelligence (AI), Automation, Business Support, Cataloguing, Cloud Architecture, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Customer Acquisition, Customer Relations, Data Access Objects (DAO), Data Analysis, Data Management, DevOps, Ecosystems, GCP (Good Clinical Practices), Industry/Trade Analysis, Informatica, Insurance, Manufacturing Data Management, Needs Assessment, Oracle, Problem Solving Skills, Product Testing, Scrum Project Management and Software Development, Snowflake Schema, Systems Administration/Management, Tableau, Technical Leadership, Technical Support, Technical/Engineering Design, Technology Analysis, Trend Analysis, User Interface/Experience (UI/UX) ## Description * Strategic Collaboration + As a technical leader you will need to analyze industry trends focused on cloud computing and data platform technologies. + You will be part of a team of architects working across organizational boundaries advancing DAO technical capabilities. + Translate these trends into actionable capabilities. * Current and Target State Architectures: + 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 (including AWS Cloud, PySpark, Snowflake, Tableau and ThoughtSpot). * Customer Collaboration + Collaborate with internal customers to evaluate needs and provide architectural guidance in utilizing the right products & services for solutions in support of batch/streaming, real-time, near real-time integration/ELT, structuring data for analytic consumption, cloud migrations, and supporting AI. + Build relationships with internal customers proactively identifying platform and technical needs supporting a business roadmap. * New Technology evaluations and POCs + Driving product evaluations, defining scoring criteria, and providing technical recommendations. + This will be a HANDS-ON role building IaC and Cloud platforms to support POCs of new technologies. * Hyper-Automation + Incorporation of DevOps and DataOps practices into suggested solutions to drive increased automation. * Driving Adoption + Driving technical road shows to improve adoption of services. ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Mobile vs. Backend DevOps](https://www.wearedevelopers.com/videos/1662-mobile-vs-backend-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)