Senior Solution Architect @
6 days ago
- University degree in Computer Science, IT, or a related field, preferably with a major in Software/System Engineering.
- Minimum of 8 years in data engineering/architecture and at least 5 years in data modeling.
- Strong knowledge of the banking industry.
- Expertise in data architecture, including data modeling (conceptual/logical/physical), transactional vs. analytical database solution design, ETLs, and data-related non-functional requirements (e.g., backup, archiving, performance optimization).
- Strong stakeholder management skills to communicate technical concepts effectively in English to business and technical audiences.
- Analytical skills to assess design effectiveness, identify limitations, and support decision-making based on facts and business value.
- Self-motivated to expand knowledge and skills beyond data architecture.
- Ability to inspire teams to continuously improve designs and best practices.
- Excellent interpersonal, communication, and presentation skills.
- Data warehousing experience, including Kimball and Inmon methodologies.
- Strong technical knowledge of Big Data technologies and open-source tools:
- Experience with Python/Scala and Spark
- Understanding of HDP ecosystem, HDFS file formats (Avro, Parquet, ORC, JSON)
- SQL query optimization in Hive (Tez, SparkSQL, MapReduce)
- Knowledge of public cloud platforms (Google, AWS, Azure):
- Data processing, DevOps experience, and data modeling (relational, dimensional)
- Strong background in data warehousing technologies (Oracle, Teradata, DB2).
- Experience with metadata management techniques.
- Proficiency in BI tools such as Tableau, QlikView, and QlikSense.
- Familiarity with design tools (EA, Archimate, UML, IDA).
- Understanding of SDLC/Agile methodologies.
- A proactive, can-do attitude with a willingness to embrace new challenges.
- Understanding of banking operations and domain knowledge.
- Hands-on experience in data modeling tools such as Erwin and IDA.
- Project-based experience.
- At least 1 year of experience in GCP/Alicloud.
- Fluency in English and Mandarin is strongly preferred.
- Knowledge of architectural or governance frameworks (TOGAF, IFW, etc.).
- Exposure to data processing architecture design, such as Lambda.
- Experience with unstructured data solutions (NoSQL databases, graph databases, in-memory databases, etc.).
- Exposure to microservices architecture and solutions (APIs, Publish/Subscribe, Message Queues, Kubernetes-hosted solutions, etc.).
- Familiarity with programming models/frameworks (Spark, Apache Beam, Spring Boot).
Senior Solution Architect
Location: Poland (Hybrid Work Model from Kraków or Warszawa)
We are looking for an experienced Senior Solution Architect to join our client, a global financial institution. This role is an excellent opportunity to work on cutting-edge technology solutions that drive key business services
If you have experience in IT solution architecture and are eager to work in a global, dynamic environment, apply today
,[Ensure that products and services are supported by the right architectures, solutions, and data models that meet customer needs., Design cost-effective product solutions and data models while managing the backlog of design activities throughout the agile development lifecycle., Work with DevOps Engineers to resolve operational issues (data/solution enhancements, performance optimization, design defects, etc.)., Translate business requirements into actionable product/service technology solutions and influence service direction., Ensure solutions align with the platform's data and solution architecture, organizational standards, and enterprise architecture., Obtain approvals from technical design and control authorities for solution and data designs., Collaborate with architects and DevOps teams to establish best practices in data and solution architecture with clear documentation., Participate in governance activities to review solutions and data model designs, manage documentation, and oversee use case implementations., Define and communicate commercially aware architecture designs for data solutions according to governance frameworks., Work closely with engineering teams and stakeholders to align project requirements with group standards, IT, and business strategy., Provide analysis of solution choices, benefits, and challenges., Identify operational and delivery risks., Govern architecture design, implement standards, and establish target operating models for IT activities., Develop and support integration standards, patterns, strategies, roadmaps, and architectures., Ensure architecture compliance with requirements, approved technologies, best practices, and enterprise strategies.] Requirements: Degree, Data modeling, Stakeholder management, Analytical skills, Big Data, Python, Scala, Spark, HDFS, JSON, SQL, Hive, Cloud platform, AWS, DevOps, Oracle, Teradata, IBM Db2, BI, Tableau, QlikView, UML, SDLC, Data engineering, GCP, TOGAF, AWS Lambda, NoSQL, Microservices architecture, Spring, Boot-
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