Principal Engineer

Jobtailor

Warszawa

On-site

PLN 360,000 - 600,000

Full time

2 days ago
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Job summary

Dun & Bradstreet is seeking an accomplished Enterprise Architect to own and evolve the Target Architecture across products, data, data supply chain and corporate systems in Poland. You will define the architecture strategy and roadmaps for platform modernization and rationalization, aligning tech initiatives with business goals.

You will mentor senior engineers, lead architecture reviews, evaluate emerging technologies and guide data, AI and automation initiatives while promoting scalable,

Qualifications

  • Degree in Computer Science, Engineering or related discipline.
  • 12+ years in Enterprise, Solution development or Domain Architecture with ownership of complex distributed data-intensive systems.
  • Strong technical depth and practical engineering experience.
  • Experience with cloud architecture and governance; Google Cloud is advantageous.
  • Strong understanding of AI, analytics and modern engineering practices.
  • Knowledge of API, event-driven and distributed-system patterns.
  • Excellent communication and problem-solving skills.
  • Fluency in English; other market languages a plus.

Responsibilities

  • Own and evolve D&B’s Target Architecture across Products, Data, Data Supply Chain and Corporate Systems
  • Define and communicate target architecture strategy and roadmaps for platform modernization, consolidation and platform rationalization
  • Align technology initiatives with business priorities
  • Provide architectural leadership, guide solution design and key technology decisions
  • Lead architecture reviews and define standards and governance
  • Evaluate emerging technologies and adoption opportunities and share them with leadership
  • Support data, analytics, AI and automation initiatives
  • Promote scalable, secure and reusable architecture patterns
  • Partner with Product, Engineering, Data, Security and Business teams
  • Communicate and align architectural direction with measurable business and customer outcomes
  • Mentor senior engineers and technical leads
  • Drive technology modernization, consolidation and strategic transformation
  • Act as a trusted advisor to business and technology leaders
  • Guide senior engineers and influence architecture and delivery decisions
  • Ensure technical designs are grounded in operational reality, customer value and measurable outcomes

Skills

Enterprise Architecture
Cloud Architecture
Data-Intensive Systems
Technology Transformation
AI and Analytics
CI/CD Practices
Observability
Operational Readiness
Communication

Education

Degree in Computer Science or Engineering

Tools

Google Cloud
Kafka
Spark
Airflow
Snowflake
Databricks
Elasticsearch

Job description

  • Own and evolve D&B’s Target Architecture across Products, Data, Data Supply Chain and Corporate Systems
  • Define and communicate target architecture strategy and roadmaps for platform modernization, consolidation and platform rationalization
  • Align technology initiatives with business priorities
  • Provide architectural leadership, guide solution design and key technology decisions
  • Lead architecture reviews and define standards and governance
  • Evaluate emerging technologies and adoption opportunities and share them with leadership
  • Support data, analytics, AI and automation initiatives
  • Promote scalable, secure and reusable architecture patterns
  • Partner with Product, Engineering, Data, Security and Business teams
  • Communicate and align architectural direction with measurable business and customer outcomes
  • Mentor senior engineers and technical leads
  • Drive technology modernization, consolidation and strategic transformation
  • Act as a trusted advisor to business and technology leaders
  • Guide senior engineers and influence architecture and delivery decisions
  • Ensure technical designs are grounded in operational reality, customer value and measurable outcomes
Requirements
  • Degree in Computer Science, Engineering or a related discipline
  • 12+ years of Enterprise, Solution development or Domain Architecture experience, including significant ownership of complex, distributed, data-intensive systems
  • Strong technical depth and practical engineering experience
  • Experience with technology transformation and governance
  • In-depth understanding of cloud architecture and operations in secure, resilient and multi-region environments
  • Experience with Google Cloud is advantageous
  • Strong understanding of AI, analytics and modern engineering practices
  • Strong understanding of cloud, integration, data, application and platform architectures, including modern API, event-driven and distributed-system patterns
  • Experience architecting complex, distributed and data-intensive platforms using modern cloud, data processing, integration, messaging, analytics and information-management technologies
  • Experience with Kafka, Spark, Airflow, Snowflake, Databricks, Elasticsearch or equivalent platforms is beneficial
  • Strong understanding of modern software delivery practices including CI/CD, automated testing, infrastructure as code, secure coding, observability, incident learning and operational readiness
  • Excellent communication, interpersonal and problem-solving skills
  • Proficiency in Microsoft Office Suite
  • Ownership mindset, problem-solving ability, curiosity and proactive collaboration
  • Continuous growth mindset and willingness to broaden competencies through courses and programs
  • Where applicable, fluency in English and languages relevant to the working market
Core Competencies

Demonstrates expertise in Enterprise and Solution Architecture with a focus on cloud architecture, data-intensive systems, and technology transformation. Proven ability to lead architectural strategy, mentor technical teams, and align technology initiatives with business outcomes.

Highest-signal resume keywords
  • Enterprise Architecture
  • Cloud Architecture
  • Data-Intensive Systems
  • Technology Transformation
  • AI and Analytics
Hard Skills
  • Solution Development
  • Data Processing
  • Integration Architecture
  • API Design
  • Event-Driven Architecture
  • CI/CD Practices
  • Infrastructure as Code
  • Automated Testing
  • Observability
  • Operational Readiness
Soft Skills
  • Excellent Communication
  • Interpersonal Skills
  • Problem-Solving Ability
  • Ownership Mindset
  • Proactive Collaboration
Industry Keywords
  • Architecture Governance
  • Platform Modernization
  • Data Supply Chain
  • Scalable Architecture Patterns
  • Multi-Region Environments
Tools & Technologies
  • Google Cloud
  • Kafka
  • Spark
  • Airflow
  • Snowflake
  • Databricks
  • Elasticsearch
  • Microsoft Office Suite
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