Data Architect I

🕒 August 24

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

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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AccuWeather

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1962

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

AccuWeather is a global leader in weather forecasting services, providing highly accurate weather information and forecasts for various locations worldwide. The company offers a range of products and services including digital advertising, APIs, mobile apps, and subscription services like AccuWeather Premium and AccuWeather Professional. It features weather news, radar and maps, and specialized forecasts, such as hurricane tracking and severe weather alerts. Through its innovative RealFeel® and RealFeel Shade™ technologies, AccuWeather delivers personalized weather insights, enhancing safety and convenience for businesses and individuals alike. The company's mission is to deliver superior accuracy in weather reporting and forecasts.

📋 Description

• Assess legacy, on-premises infrastructure behind AccuWeather For Business and document current-state architecture, dependencies, data flows, and technical debt • Design cloud-native architecture and produce architecture designs, technical specifications, and implementation documentation • Own architectural direction for the modernization effort • Develop a roadmap and sequencing plan from the current environment to the cloud-native architecture while minimizing disruption to enterprise clients • Design backend data systems that maintain continuity of critical data delivery services • Partner with engineering and data teams to validate and implement secure, scalable, performant, and maintainable solutions • Contribute hands-on by developing and modifying code, data models, schemas, and data platform components • Estimate data consumption, capacity, and infrastructure requirements, including cloud infrastructure costs • Identify and document architectural and operational risks and design mitigation strategies • Address performance, security, scalability, resiliency, recoverability, compliance, and data residency requirements • Incorporate system scheduling, integrations, and dependencies into planning and sequencing • Serve as a technical point of contact for modernization architecture decisions

🎯 Requirements

• BA/BS in Computer Science, Information Technology, or a related field, with 5+ years of experience in data or enterprise architecture, or MS with 3+ years of experience • High-level knowledge of cloud platforms, such as Microsoft Azure, and cloud-native architecture • Experience assessing legacy, on-premises systems and designing modern, cloud-native architectures • Experience planning or supporting large-scale modernization initiatives for production, customer-facing platforms • Experience designing production data platforms for performance, scalability, resiliency, and recoverability • Experience analyzing complex system dependencies, integrations, data flows, and scheduling requirements • Demonstrated experience with PostgreSQL, including relational data modeling, schema design, and query development • Advanced proficiency in Python or Go, with experience developing production-quality code for data platforms or backend systems • Experience designing backend data platforms supporting external or enterprise clients • Experience evaluating technology and architecture options, including build-versus-buy decisions and modernization approaches • Experience evaluating infrastructure requirements and costs for cloud architecture decisions and design trade-offs • Familiarity with enterprise security, compliance, and data governance requirements, including SOC 2 and data residency considerations • Strong systems thinking • Excellent written communication and technical documentation skills • Sound technical judgment • Ability to translate architecture designs into working solutions • Ability to mentor less experienced engineers • Ability to independently lead complex, large-scale architecture initiatives

🏖️ Benefits

• Equal employment opportunity and affirmative action employer • Reasonable accommodations for individuals with disabilities