4 дня назад
Principal Solutions Architect (Big Data)
137 102 - 246 784$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Solutions Architect (Big Data): Designing and modernizing large-scale data platforms and distributed systems with an accent on automated data pipelines, cloud architecture, and data governance. Focus on improving performance, scalability, resiliency, and cost efficiency while resolving cross-team technical decisions and mentoring architects and engineers.
Location: United States; hybrid role requiring residence in or near a designated collaboration hub: Costa Mesa, San Jose, Allen, Austin, Franklin, New York, Schaumburg, Washington, Atlanta, Boston, or Seattle.
Salary: $137,102–$246,784
Company
is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.
What you will do
- Define end-to-end architecture for large-scale data platforms and distributed systems.
- Design and develop automated custom data pipelines using Apache Spark, Trino, or similar Big Data technologies.
- Establish architecture practices for data ingestion, transformation, storage, and data usage.
- Improve performance, scalability, resiliency, and cost efficiency across data platforms.
- Partner with Product, Engineering, Security, Cloud, and Architecture teams to modernize legacy workflows and develop technical solutions.
- Lead architecture reviews, resolve cross-team technical decisions, define data governance and observability practices, and mentor architects and engineers.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent experience; a Master's degree is preferred.
- 8+ years of experience in software engineering, data engineering, or technology architecture.
- 5+ years of hands-on experience with Big Data technologies and large-scale distributed data processing.
- Experience designing enterprise-scale data platforms, distributed systems, and automated data pipelines.
- Experience with cloud environments and expertise in Python, Java, Scala, or SQL.
- Must reside in or near one of the designated US collaboration hubs.
Culture & Benefits
- Hybrid collaboration model focused on working with colleagues in person at designated hubs.
- Purpose-driven, inclusive, and people-first culture.
- Opportunities to work with advanced technologies and data-driven products across multiple industries.
- Permanent, full-time position within the Technology department.
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