PROJECT INFORMATION:
Industry: Banking
Project language: English
Start: ASAP
Location: expected to come to the office 1x per month (Cracow)
Summary:
The Senior Solution Architect plays a critical role in designing and maintaining architectures, solutions, and data models that align with customer needs and support the agile development lifecycle, ensuring both cost-effectiveness and operational efficiency.
Main Responsibilities:This role encompasses the management of architecture and solutions to align with customer needs and business goals.
Accountable for ensuring the products & services are underpinned by the right architectures, solutions, and data models that meet customer needs.
Accountable for managing the design of product solutions ensuring cost-effectiveness throughout the agile development lifecycle.
Collaborate with DevOps Engineers to resolve operational issues in a timely manner.
Convert requirements into actionable product/service requirements that shape Technology solutions and data modeling development.
Ensure alignment of solutions with platform data and overall enterprise architecture.
Secure approvals from design authorities on solution and data designs.
Collaborate with stakeholders to design and manage best practices for data and solution architecture.
Participate in governance activities to review solutions and ensure adherence to best practices.
Define and communicate commercially aware architecture designs for data solutions.
Engage closely with engineering teams to meet project requirements aligned with Group standards.
Create clear architecture solution choices and analyze benefits/challenges.
Identify operational and delivery risks.
Provide governance on architecture, establishing standards for IT activities.
Support the development of integration standards, strategies, and architectures.
Ensure architecture compliance with requirements and best practices.
Key Requirements:
University graduate in Computer Science/IT or equivalent experience.
8+ years in data engineering / architecture; 5 years in data modeling.
Strong banking industry experience.
Expertise in data architecture and modeling (conceptual/logical/physical).
Excellent stakeholder management skills with the ability to explain technical concepts.
Strong analytical abilities to assess designs and inform decisions.
Self-motivated with a desire for continuous improvement.
Excellent communication and presentation skills in English.
Experience in data warehousing methodologies (Kimball, Inmon).
Technical knowledge of Big Data technologies and stack.
Familiarity with public cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of AI/ML practices and technologies.
Exposure to microservices design and related technologies.
Experience with BI tools (Tableau, QlikView).
Knowledge of SDLC/Agile methodologies.
Proactive work attitude.
Nice to Have:
Experience in banking operations.
Hands-on experience with data modeling tools (Erwin, IDA).
Project-based experience.
Fluent in Mandarin preferred.
Familiarity with architecture governance frameworks (TOGAF).
Experience with unstructured data solutions.
B2B
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