Data Architect I

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Evaluate the legacy on-premises infrastructure supporting AccuWeather For Business and document the current architecture, its dependencies, data flows, and technical liabilities.

• Create cloud-native architectural designs and generate technical specifications along with implementation documentation.

• Lead the architectural strategy for the modernization project.

• Formulate a roadmap and sequencing plan to transition from the existing environment to the cloud-native architecture, ensuring minimal disruption for enterprise clients.

• Architect backend data systems that ensure the uninterrupted delivery of critical data services.

• Collaborate with engineering and data teams to validate and implement solutions that are secure, scalable, efficient, and maintainable.

• Engage in hands-on development and modification of code, data models, schemas, and components of the data platform.

• Assess data consumption, capacity, and infrastructure requirements, which includes estimating cloud infrastructure costs.

• Identify and document both architectural and operational risks, and formulate strategies to mitigate them.

• Address requirements related to performance, security, scalability, resiliency, recoverability, compliance, and data residency.

• Integrate system scheduling, dependencies, and integrations into planning and sequencing.

• Act as a technical contact for decisions regarding modernization architecture.

⛳️ Requirements

• BA/BS in Computer Science, Information Technology, or a related discipline, with 5+ years of experience in data or enterprise architecture, or an MS with 3+ years of experience.

• Comprehensive knowledge of cloud platforms, such as Microsoft Azure, and cloud-native architecture.

• Experience in assessing legacy on-premises systems and designing modern, cloud-native architectures.

• Proven experience in planning or supporting large-scale modernization efforts for production, customer-facing platforms.

• Experience in designing production data platforms that prioritize performance, scalability, resiliency, and recoverability.

• Skilled in analyzing complex system dependencies, integrations, data flows, and scheduling needs.

• Demonstrated expertise with PostgreSQL, including relational data modeling, schema design, and query development.

• Advanced skills in Python or Go, with a track record of developing production-quality code for data platforms or backend systems.

• Experience in designing backend data platforms that cater to external or enterprise clients.

• Ability to evaluate technology and architectural choices, including build-versus-buy considerations and modernization strategies.

• Experience in assessing infrastructure needs and costs for cloud architectural decisions and design trade-offs.

• Familiarity with enterprise security, compliance, and data governance standards, including SOC 2 and data residency issues.

• Strong systems thinking capabilities.

• Exceptional written communication and technical documentation skills.

• Sound technical judgment.

• Capability to translate architectural designs into functioning solutions.

• Ability to mentor junior engineers.

• Competence to independently drive complex, large-scale architectural initiatives.

🏝️ Benefits

• Equal employment opportunity and affirmative action employer.

• Reasonable accommodations for individuals with disabilities.