Enterprise Architect
* Start: ASAP
* Location: Warsaw (onsite minimum 3 days per week, remainder remote)
* Workload: Full-time (Time & Material)
* 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).