Enterprise Architect

* Start: ASAP* Location: Warsaw (onsite minimum 3 days per week, remainder remote)* Workload: Full-time* Duration: 6 months + extension option* Engagement: B2BSummary: The role of the Enterprise Architect is to design, implement, and govern complex architectural frameworks that align technology with strategic business objectives, particularly focusing on Cloud, Big Data, and AI/ML.

Responsibilities:* Develop and maintain enterprise-wide architecture frameworks, standards and reference models.* Design and implement scalable data lakes and distributed data platforms using modern Cloud and Big Data technologies.* Define frameworks and roadmaps for Data Management, Data Migration, Data Integration, Data Governance, Data Quality, MDM and Data Security.* Architect solutions leveraging Artificial Intelligence, Machine Learning, containerization and modern analytics platforms.* Lead integration architecture across provisioning, order management, inventory systems, mediation platforms and enterprise applications.* Provide architectural guidance to engineering teams and ensure alignment with enterprise standards.* Collaborate with business, IT and leadership stakeholders to ensure architectural clarity and shared understanding.* Establish CoEs and PoCs for Big Data and AI initiatives, driving adoption of emerging technologies.* Lead strategies that improve data processing efficiency, including proven results such as a 50% performance boost.* Act as onsite lead to extract functional, business and technical specifications and transition them to offshore teams for BAU support.*Manage smooth technical transitions and launches, including international web-ordering systems and large-scale application migrations.*Ensure architectural compliance with security, regulatory and operational standards.* Produce clear architectural documentation and communicate complex concepts to diverse audiences.

Must Haves:* Proven experience as an Enterprise Architect in large, global organizations.* Strong expertise in Cloud, Big Data, AI/ML, containerization, and enterprise data platforms.* Demonstrated success installing and managing data lakes and distributed data ecosystems.* Extensive experience with data migration, including configuration validation, baseline data verification, script development and full lifecycle support.* Strong background in digital transformation, CoE establishment and PoC delivery.* Excellent communication skills with the ability to influence senior stakeholders.* Experience working across multiple industries (BFSI, Telecom, Automotive, Retail, Manufacturing).* Ability to operate both strategically and hands-on in complex environments.

Nice to Haves:* Familiarity with regulatory compliance standards (e.g., GDPR, CCPA).* Knowledge of emerging technologies in the data architecture space.* Experience with Agile methodologies or DevOps practices.* Certifications in Cloud technologies (e.g., AWS, Azure, Google Cloud).