Enterprise Architect

* Start: ASAP * Location: Warsaw (onsite minimum 3 days per week, remainder remote) * Workload: Full-time * Duration: 6 months extension option * Engagement: B2B Summary: 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).