4 дня назад
Principal Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer (Cloud/Data Architecture): Evolving target architecture across products, data, data supply chain, and corporate systems with an accent on modernization, consolidation, governance, and secure multi-region cloud environments. Focus on designing distributed data-intensive platforms, evaluating technology trade-offs, guiding architecture decisions, and aligning engineering outcomes with business and customer value.
Location: Warsaw, Poland; hybrid workplace
Company
Dun & Bradstreet provides business decisioning data and analytics to help organizations grow, manage risk, and innovate.
What you will do
- Define and communicate target architecture strategies and roadmaps for platform modernization, consolidation, and rationalization.
- Align technology initiatives with business priorities and measurable customer outcomes.
- Lead architecture reviews, solution design, technology decisions, standards, and governance.
- Evaluate emerging technologies and support data, analytics, AI, and automation initiatives.
- Develop scalable, secure, and reusable architecture patterns across cloud, data, applications, platforms, and integrations.
- Mentor senior engineers and technical leads while partnering with Product, Engineering, Data, Security, and Business teams.
Requirements
- Degree in Computer Science, Engineering, or a related discipline.
- 12+ years of experience in enterprise, solution development, or domain architecture, including complex distributed and data-intensive systems.
- Practical engineering expertise with architecture reviews, design and code reviews, implementation trade-offs, and operational delivery.
- Experience with technology transformation, governance, secure resilient multi-region cloud architecture, and modern API, event-driven, and distributed-system patterns.
- Experience with cloud, data processing, integration, messaging, analytics, and information-management technologies; Kafka, Spark, Airflow, Snowflake, Databricks, and Elasticsearch are beneficial.
- Understanding of AI, analytics, CI/CD, automated testing, infrastructure as code, secure coding, observability, incident learning, and operational readiness, plus strong communication and problem-solving skills.
Culture & Benefits
- Full-time employee position with a hybrid work arrangement.
- Collaborative environment focused on customer value, engineering excellence, pragmatic delivery, and shared ownership.
- Opportunities for continuous learning through courses, programs, mentoring, and stakeholder collaboration.
- Eligible employees receive Dun & Bradstreet’s benefits package.
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